The Study of Estonian Human Genes Database

I. Introduction

The human genes database or human genome project, the product under the policy of biotechnology no matter in a developed or developing country, has been paid more attention by a government and an ordinary people gradually. The construction of human genes database or human genome project, which is not only related to a country’s innovation on biotechnology, but also concerns the promotion of a country’s medical quality, the construction of medical care system, and the advantages brought by the usage of bio-information stored in human genes database or from human genome project. However, even though every country has a high interest in setting up human genes database or performing human genome project, the issues concerning the purposes of related biotechnology policies, the distribution of advantages and risks and the management of bio-information, since each country has different recognition upon human genes database or human genome project and has varied standards of protecting human basic rights, there would be a totally difference upon planning biotechnology policies or forming the related systems. Right now, the countries that vigorously discuss human genes database or practice human genome project include England, Iceland, Norway, Sweden, Latvia and Estonia.

Estonia, which is the country around the Baltic Sea, has planned to set up its own human genes database in order to draw attention from other advanced countries, to attract intelligent international researchers or research groups, and to be in the lead in the area of biotechnology. To sum up, the purpose of constructing Estonian human genes database was to collect the genes and health information of nearly 70% Estonia’s population and to encourage bio-research and promote medical quality.

II. The Origin of Estonian Human Genes Database

The construction of Estonian human genes database started from Estonian Genome Project (EGP). This project was advocated by the professor of biotechnology Andres Metspalu at Tartu University in Estonia, and he proposed the idea of setting up Estonian human genes database in 1999. The purposes of EGP not only tried to make the economy of Estonia shift from low-cost manufacturing and heavy industry to an advanced technological economy, but also attempted to draw other countries’ attention and to increase the opportunity of making international bio-researches, and then promoted the development of biotechnology and assisted in building the system of medical care in Estonia.

EGP started from the agreement made between Estonian government and Eesti Geenikeskus (Estonian Genome Foundation) in March, 1999. Estonian Genome Foundation was a non-profit organization formed by Estonian scientists, doctors and politicians, and its original purposes were to support genes researches, assist in proceeding any project of biotechnology and to set up EGP. The original goals of constructing EGP were “(a) reaching a new level in health care, reduction of costs, and more effective health care, (b) improving knowledge of individuals, genotype-based risk assessment and preventive medicine, and helping the next generation, (c) increasing competitiveness of Estonia – developing infrastructure, investments into high-technology, well-paid jobs, and science intensive products and services, (d) [constructing] better management of health databases (phenotype/genotype database), (e) … [supporting]… economic development through improving gene technology that opens cooperation possibilities and creates synergy between different fields (e.g., gene technology, IT, agriculture, health care)”1.

III. The Way of Constructing Estonian Human Genes Database

In order to ensure that Estonian human genes database could be operated properly and reasonably in the perspectives of law, ethics and society in Estonia, the Estonian parliament followed the step of Iceland to enact “Human Genes Research Act” (HGRA) via a special legislative process to regulate its human genes database in 2000. HGRA not only authorizes the chief processor to manage Estonian human genes database, but also regulates the issues with regard to the procedure of donation, the maintenance and building of human genes database, the organization of making researches, the confidential identity of donator or patient, the discrimination of genes, and so on.

Since the construction of Estonian human genes database might bring the conflicts of different points of view upon the database in Estonia, in order to “avoid fragmentation of societal solidarity and ensure public acceptability and respectability”2 , HGRA adopted international standards regulating a genes research to be a norm of maintaining and building the database. Those standards include UNESCO Universal Declaration on the Human Genome and Human Rights (1997) and the Council of Europe’s Convention on Human Rights and Biomedicine (1997).

The purpose of enacting HGRA is mainly to encourage and promote genes researches in Estonia via building Estonian human genes database. By means of utilizing the bio-information stored in the database, it can generate “more exact and efficient drug development, new diagnostic tests, improved individualized treatment and determination of risks of the development of a disease in the future”3 . In order to achieve the above objectives, HGRA primarily puts emphasis on several aspects. Those aspects include providing stronger protection on confidential identity of donators or patients, caring for their privacy, ensuring their autonomy to make donations, and avoiding any possibility that discrimination may happen because of the disclosure of donators’ or patients’ genes information.


1.HERBERT GOTTWEIS & ALAN PETERSEN, BIOBANKS – GOVERNANCE IN COMPARATIVE PERSPECTIVE 59 (2008).
2.Andres Rannamae, Populations and Genetics – Legal and Socio-Ethical Perspectives, in Estonian Genome Porject – Large Scale Health Status Description and DNA Collection 18, 21 (Bartha Maria Knoppers et al. eds., 2003.
3.REMIGIUS N. NWABUEZE, BIOTECHNOLOGY AND THE CHALLENGE OF PROPERTY – PROPERTY RIGHTS IN DEAD BODIES, BODY PARTS, AND GENETIC INFORMATION, 163 (2007).

※The Study of Estonian Human Genes Database,STLI, https://stli.iii.org.tw/en/article-detail.aspx?no=86&tp=2&i=168&d=6099 (Date:2024/05/03)
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Impact of Government Organizational Reform to Scientific Research Legal System and Response Thereto (1) – For Example, The Finnish Innovation Fund (“SITRA”)

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Most studies still indicate positive impact, primarily as a result of the market failure. Some studies indicate that the impact of the public sector’s investment of resources may be observable at least from several points of view, including: 1. The direct output of the investment per se and the corresponding R&D investment potentially derived from investees; 2. R&D of outputs derived from the R&D investment, e.g., products, services and production methods, etc.; 3. direct impact derived from the R&D scope, e.g., development of a new business, or new business and service models, etc.; 4. impact to national and social economies, e.g., change of industrial structures and improvement of employment environment, etc. Most studies indicate that from the various points of view, the investment by public sector all produced positive impacts and, therefore, such investment is needed definitely[3]. The public sector may invest in R&D in diversified manners. Sitra invests in the “market” as an investor of corporate venture investment market, which plays a role different from the Finnish Funding Agency for Technology and Innovation (“Tekes”), which is more like a governmental subsidizer. Nevertheless, Finland’s characteristics reside in the combination of multiple funding and promotion models. Above all, due to the different behavior model, the role played by the former is also held different from those played by the general public sectors. This is why we choose the former as the subject to be studied herein. Data source: Jari Hyvärinen & Anna-Maija Rautiainen, Measuring additionality and systemic impacts of public research and development funding – the case of TEKES, FINLAND, RESEARCH EVALUATION, 16(3), 205, 206 (2007). Fig. 1 Phased Efforts of Resources Invested in R&D by Public Sector (2) Two Sided f Role Played by Sitra in Boosting of Finnish Innovation Policies   Sitra has a very special position in Finland’s national innovation policies, as it not only helps successful implementation of the innovation policies but also acts an intermediary among the relevant entities. Sitra was founded in 1967 under supervision of the Bank of Finland before 1991, but was transformed into an independent foundation under the direction of the Finnish Parliament[4].   Though Sitra is a public foundation, its operation will not be intervened or restricted by the government. Sitra may initiate any innovation activities for its new organization or system, playing a role dedicated to funding technical R&D or promoting venture capital business. Meanwhile, Sitra also assumes some special function dedicated to decision-makers’ training and organizing decision-maker network to boost structural change. Therefore, Sitra may be identified as a special organization which may act flexibly and possess resources at the same time and, therefore, may initiate various innovation activities rapidly[5].   Sitra is authorized to boost the development of innovation activities in said flexible and characteristic manner in accordance with the Finland Innovation Fund Act (Laki Suomen itsenäisyyden juhlarahastosta). According to the Act, Finland established Sitra in 1967 and Sitra was under supervision of Bank of Finland (Article 1). Sitra was established in order to boost the stable growth of Finland’s economy via the national instrument’s support of R&D and education or other development instruments (Article 2). The policies which Sitra may adopt include loaning or funding, guarantee, marketable securities, participation in cooperative programs, partnership or equity investment (Article 3). If necessary, Sitra may collect the title of real estate or corporate shares (Article 7). Data source: Finnish innovation system, Research.fi, http://www.research.fi/en/innovationsystem.html (last visited Mar. 15, 2013). Fig. 2 Finnish Scientific Research Organization Chart   Sitra's innovation role has been evolved through two changes. Specifically, Sitra was primarily dedicated to funding technical R&D among the public sectors in Finland, and the funding model applied by Sitra prior to the changes initiated the technical R&D promotion by Tekes, which was established in 1983. The first change of Sitra took place in 1987. After that, Sitra turned to focus on the business development and venture capital invested in technology business and led the venture capital investment. Meanwhile, it became a partner of private investment funds and thereby boosted the growth of venture capital investments in Finland in 1990. In 2000, the second change of Sitra took place and Sitra’s organization orientation was changed again. It achieved the new goal for structural change step by step by boosting the experimental social innovation activities. Sitra believed that it should play the role contributing to procedural change and reducing systematic obstacles, e.g., various organizational or institutional deadlocks[6].   Among the innovation policies boosted by the Finnish Government, the support of Start-Ups via governmental power has always been the most important one. Therefore, the Finnish Government is used to playing a positive role in the process of developing the venture capital investment market. In 1967, the Government established a venture capital company named Sponsor Oy with the support from Bank of Finland, and Sponsor Oy was privatized after 1983. Finland Government also established Kera Innovation Fund (now known as Finnvera[7]) in 1971, which was dedicated to boosting the booming of Start-Ups in Finland jointly with Finnish Industry Investment Ltd. (“FII”) established by the Government in 1994, and Sitra, so as to make the “innovation” become the main development force of the country[8] .   Sitra plays a very important role in the foundation and development of venture capital market in Finland and is critical to the Finnish Venture Capital Association established in 1990. After Bank of Finland was under supervision of Finnish Parliament in 1991, Sitra became on the most important venture capital investors. Now, a large portion of private venture capital funds are provided by Sitra[9]. Since Sitra launched the new strategic program in 2004, it has turned to apply smaller sized strategic programs when investing young innovation companies, some of which involved venture capital investment. The mapping of young innovation entrepreneurs and angel investors started as of 1996[10].   In addition to being an important innovation R&D promoter in Finland, Sitra is also an excellent organization which is financially self-sufficient and tends to gain profit no less than that to be generated by a private enterprise. As an organization subordinated to the Finnish Parliament immediately, all of Sitra’s decisions are directly reported to the Parliament (public opinion). Chairman of Board, Board of Directors and supervisors of Sitra are all appointed by the Parliament directly[11]. Its working funds are generated from interest accruing from the Fund and investment income from the Fund, not tax revenue or budget prepared by the Government any longer. The total fund initially founded by Bank of Finland amounted to DEM100,000,000 (approximately EUR17,000,000), and was accumulated to DEM500,000,000 (approximately EUR84,000,000) from 1972 to 1992. After that, following the increase in market value, its nominal capital amounted to DEM1,400,000,000 (approximately EUR235,000,000) from 1993 to 2001. Obviously, Sitra generated high investment income. Until 2010, it has generated the investment income amounting to EUR697,000,000 .   In fact, Sitra’s concern about venture capital investment is identified as one of the important changes in Finland's national technical R&D polices after 1990[13]. Sitra is used to funding businesses in three manners, i.e., direct investment in domestic stock, investment in Finnish venture capital funds, and investment in international venture capital funds, primarily in four industries, technology, life science, regional cooperation and small-sized & medium-sized starts-up. Meanwhile, it also invests in venture capital funds for high-tech industries actively. In addition to innovation technology companies, technical service providers are also its invested subjects[14]. 2. “Investment” Instrument Applied by Sitra to Boost Innovation Business   The Starts-Up funding activity conducted by Sitra is named PreSeed Program, including INTRO investors’ mapping platform dedicated to mapping 450 angel investment funds and entrepreneurs, LIKSA engaged in working with Tekes to funding new companies no more than EUR40,000 for purchase of consultation services (a half thereof funded by Tekes, and the other half funded by Sitra in the form of loan convertible to shares), DIILI service[15] dedicated to providing entrepreneurs with professional sale consultation resources to integrate the innovation activity (product thereof) and the market to remedy the deficit in the new company’s ability to sell[16].   The investment subjects are stated as following. Sitra has three investment subjects, namely, corporate investments, fund investments and project funding. (1) Corporate investment   Sitra will not “fund” enterprises directly or provide the enterprises with services without consideration (small-sized and medium-sized enterprises are aided by other competent authorities), but invest in the businesses which are held able to develop positive effects to the society, e.g., health promotion, social problem solutions, utilization of energy and effective utilization of natural resources. Notwithstanding, in order to seek fair rate of return, Sitra is dedicated to making the investment (in various enterprises) by its professional management and technology, products or competitiveness of services, and ranging from EUR300,000 to EUR1,000,000 to acquire 10-30% of the ownership of the enterprises, namely equity investment or convertible funding. Sitra requires its investees to value corporate social responsibility and actively participate in social activities. It usually holds the shares from 4 years to 10 years, during which period it will participate the corporate operation actively (e.g., appointment of directors)[17]. (2) Fund investments   For fund investments[18], Sitra invests in more than 50 venture capital funds[19]. It invests in domestic venture capital fund market to promote the development of the market and help starts-up seek funding and create new business models, such as public-private partnerships. It invests in international venture capital funds to enhance the networking and solicit international funding, which may help Finnish enterprises access international trend information and adapt to the international market. (3) Project funding   For project funding, Sitra provides the on-site information survey (supply of information and view critical to the program), analysis of business activities (analysis of future challenges and opportunities) and research & drafting of strategies (collection and integration of professional information and talents to help decision making), and commissioning of the program (to test new operating model by commissioning to deal with the challenge from social changes). Notwithstanding, please note that Sitra does not invest in academic study programs, research papers or business R&D programs[20]. (4) DIILI Investment Model Integrated With Investment Absorption   A Start-Up usually will not lack technologies (usually, it starts business by virtue of some advanced technology) or foresighted philosophy when it is founded initially, while it often lacks the key to success, the marketing ability. Sitra DIILI is dedicated to providing the professional international marketing service to help starts-up gain profit successfully. Owing to the fact that starts-up are usually founded by R&D personnel or research-oriented technicians, who are not specialized in marketing and usually retains no sufficient fund to employ marketing professionals, DILLI is engaged in providing dedicated marketing talents. Now, it employs about 85 marketing professionals and seeks to become a start-up partner by investing technical services.   Notwithstanding, in light of the characteristics of Sitra’s operation and profitability, some people indicate that it is more similar to a developer of an innovation system, rather than a neutral operator. Therefore, it is not unlikely to hinder some work development which might be less profitable (e.g., establishment of platform). Further, Sitra is used to developing some new investment projects or areas and then founding spin-off companies after developing the projects successfully. The way in which it operates seems to be non-compatible with the development of some industries which require permanent support from the public sector. The other issues, such as INTRO lacking transparency and Sitra's control over investment objectives likely to result in adverse choice, all arise from Sitra’s consideration to its own investment opportunities and profit at the same time of mapping. Therefore, some people consider that it should be necessary to move forward toward a more transparent structure or a non-income-oriented funding structure[21] . Given this, the influence of Sitra’s own income over upgrading of the national innovation ability when Sitra boosts starts-up to engage in innovation activities is always a concern remaining disputable in the Finnish innovation system. 3. Boosting of Balance in Regional Development and R&D Activities   In order to fulfill the objectives under Lisbon Treaty and to enable EU to become the most competitive region in the world, European Commission claims technical R&D as one of its main policies. Among other things, under the circumstance that the entire R&D competitiveness upgrading policy is always progressing sluggishly, Finland, a country with a population of 5,300,000, accounting for 1.1% of the population of 27 EU member states, was identified as the country with the No. 1 innovation R&D ability in the world by World Economic Forum in 2005. Therefore, the way in which it promotes innovation R&D policies catches the public eyes. Some studies also found that the close relationship between R&D and regional development policies of Finland resulted in the integration of regional policies and innovation policies, which were separated from each other initially, after 1990[22]. Finland has clearly defined the plan to exploit the domestic natural resources and human resources in a balanced and effective manner after World War II. At the very beginning, it expanded the balance of human resources to low-developed regions, in consideration of the geographical politics, but in turn, it achieved national balanced development by meeting the needs for a welfare society and mitigation of the rural-urban divide as time went by. The Finnish innovation policies which may resort to technical policies retroactively initially drove the R&D in the manners including upgrading of education degree, founding of Science and Technology Policy Council and Sitra, establishment of Academy of Finland (1970) and establishment of the technical policy scheme, et al.. Among other things, people saw the role played by Sitra in Finland’s knowledge-intensive society policy again. From 1991 to 1995, the Finnish Government officially included the regional competitiveness into the important policies. The National Industrial Policy for Finland in 1993 adopted the strategy focusing on the development based on competitive strength in the regional industrial communities[23].   Also, some studies indicated that in consideration of Finland’s poor financial and natural resources, its national innovation system should concentrate the resources on the R&D objectives which meet the requirements about scale and essence. Therefore, the “Social Innovation, Social and Economic Energy Re-building Learning Society” program boosted by Sitra as the primary promoter in 2002 defined the social innovation as “the reform and action plan to enhance the regulations of social functions (law and administration), politics and organizational structure”, namely reform of the mentality and cultural ability via social structural changes that results in social economic changes ultimately. Notwithstanding, the productivity innovation activity still relies on the interaction between the enterprises and society. Irrelevant with the Finnish Government’s powerful direction in technical R&D activities, in fact, more than two-thirds (69.1%) of the R&D investment was launched by private enterprises and even one-thirds launched by a single enterprise (i.e., Nokia) in Finland. At the very beginning of 2000, due to the impact of globalization to Finland’s innovation and regional policies, a lot of R&D activities were emigrated to the territories outside Finland[24]. Multiple disadvantageous factors initiated the launch of national resources to R&D again. The most successful example about the integration of regional and innovation policies in Finland is the Centres of Expertise Programme (CEP) boosted by it as of 1990. Until 1994, there have been 22 centres of expertise distributed throughout Finland. The centres were dedicated to integrating local universities, research institutions and enterprise for co-growth. The program to be implemented from 2007 to 2013 planned 21 centres of expertise (13 groups), aiming to promote the corporate sectors’ cooperation and innovation activities. CEP integrated local, regional and national resources and then focused on the businesses designated to be developed[25]. [1] Sitra, http://www.sitra.fi/en (last visited Mar. 10, 2013). [2] Jari Hyvärinen & Anna-Maija Rautiainen, Measuring additionality and systemic impacts of public research and development funding – the case of TEKES, FINLAND, RESEARCH EVALUATION, 16(3), 205, 208 (2007). [3] id. at 206-214. [4] Charles Edquist, Tterttu Luukkonen & Markku Sotarauta, Broad-Based Innovation Policy, in EVALUATION OF THE FINNISH NATIONAL INNOVATION SYSTEM – FULL REPORT 11, 25 (Reinhilde Veugelers st al. eds., 2009). [5] id. [6] id. [7] Finnvera is a company specialized in funding Start-Ups, and its business lines include loaning, guarantee, venture capital investment and export credit guarantee, etc. It is a state-run enterprise and Export Credit Agency (ECA) in Finland. Finnvera, http://annualreport2012.finnvera.fi/en/about-finnvera/finnvera-in-brief/ (last visited Mar. 10, 2013). [8] Markku Maula, Gordon Murray & Mikko Jääskeläinen, MINISTRY OF TRADE AND INDUSTRY, Public Financing of Young Innovation Companies in Finland 32 (2006). [9] id. at 33. [10] id. at 41. [11] Sitra, http://www.sitra.fi/en (last visited Mar. 10, 2013). [12] Sitra, http://www.sitra.fi/en (last visited Mar. 10, 2013). [13] The other two were engaged in boosting the regional R&D center and industrial-academy cooperative center programs. Please see Gabriela von Blankenfeld-Enkvist, Malin Brännback, Riitta Söderlund & Marin Petrov, ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT [OECD],OECD Case Study on Innovation: The Finnish Biotechnology Innovation System 15 (2004). [14] id. at20. [15] DIILI service provides sales expertise for SMEs, Sitra, http://www.sitra.fi/en/articles/2005/diili-service-provides-sales-expertise-smes-0 (last visited Mar. 10, 2013). [16] Maula, Murray & Jääskeläinen, supra note 8 at 41-42. [17] Corporate investments, Sitra, http://www.sitra.fi/en/corporate-investments (last visited Mar. 10, 2013). [18] Fund investments, Sitra, http://www.sitra.fi/en/fund-investments (last visited Mar. 10, 2013). [19] The venture capital funds referred to herein mean the pooled investment made by the owners of venture capital, while whether it exists in the form of fund or others is not discussed herein. [20] Project funding, Sitra, http://www.sitra.fi/en/project-funding (last visited Mar. 10, 2013). [21] Maula, Murray & Jääskeläinen, supra note 8 at 42. [22] Jussi S. Jauhiainen, Regional and Innovation Policies in Finland – Towards Convergence and/or Mismatch? REGIONAL STUDIES, 42(7), 1031, 1032-1033 (2008). [23] id. at 1036. [24] id. at 1038. [25] id. at 1038-1039.

Research on Policies for building a digital nation in Recent Years (2016-2017)

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The plan wants to grow nation’s digital economy to NT $ 6.5 trillion (US$205.9 billion), improve the digital lifestyle services penetration rate to 80 %, increase broadband connections to 2 Gbps, ensure citizens’ basic rights to have 25 Mbps broadband access, and put our nation among the top 10 information technology nations worldwide by 2025.   The plan contains several important development strategies: DIGI+ Infrastructure: Build infrastructure conducive to digital innovation. DIGI+ Talent: Cultivate digital innovation talent. DIGI+ Industry: Support cross-industry transformation through digital innovation. DIGI+ Rights: Make R.O.C. an advanced society that respects digital rights and supports open online communities. DIGI+ Cities: Build smart cities through cooperation among central and local governments and the industrial, academic and research sectors. DIGI+ Globalization: Boost nation’s standing in the global digital service economy.   The plan also highlights few efforts:   First is to enrich “soft” factors and workforce to create an innovative environment for digital development. To construct this environment, the government will construct an innovation-friendly legal framework, cultivate interdisciplinary digital talent, strengthen research and develop advanced digital technologies.   Second is to enhance digital economy development. The government will incentivize innovative applications and optimize the environment for digital commerce.   Third, the government will develop an open application programming interface for government data and create demand-oriented, one-stop smart government cloud services.   Fourth, the government will ensure broadband access for the disadvantaged and citizens of the rural area, implement the participatory process, enhance different kinds of international cooperation, and construct a comprehensive humanitarian legal framework with digital development.   Five is to build a sustainable smart country. The government will use smart network technology to build a better living environment, promote smart urban and rural area connective governance and construction and use on-site research and industries innovation ecosystem to assist local government plan and promote construction of the smart country.   In order to achieve the overall effectiveness of the DIGI + program, interdisciplinary, inter-ministerial, inter-departmental and inter-departmental efforts will be required to collaborate with the newly launched Digital National Innovation Economy (DIGI +) Promotion Team. 5. ARTIFICIAL INTELLIGENCE SCIENTIFIC RESEARCH STRATEGY   The Ministry of Science and Technology (MOST) reported strategy plan for artificial intelligence (AI) scientific research at Cabinet meeting on August 24, 2017. Artificial intelligence is a powerful and inevitable trend, and it will be critical to R.O.C.’s competitiveness for the next 30 years.   The ministry will devote NT$16 billion over the next five years to building an AI innovation ecosystem in R.O.C. According to MOST, the plan will promote five strategies:   1. Creating an AI platform to provide R&D services   MOST will devote NT$5 billion over the next four years to build a platform, integrating the resources, providing a shared high-speed computing environment and nurturing emerging AI industries and applications.   2. Establishing an AI innovative research center   MOST will four artificial intelligence innovation research centers across R.O.C. as part of government efforts to enhance the nation’s competitiveness in AI technology. The centers will support the development of new AI in the realms of financial technology, smart manufacturing, smart healthcare and intelligent transportation systems.   3. Setting up AI robot maker spaces   An NT$2 billion, four-year project assisting industry to develop the hardware-software integration of robots and innovative applications was announced by the Ministry of Science and Technology.   4. Subsidizing a semiconductor “moonshot” program to explore ambitious and groundbreaking smart technologies   This program will invest NT$4 billion from 2018 through 2021 into developing semiconductors and chip systems for edge devices as well as integrating the academic sector’s R&D capabilities and resources. the project encompasses cognitive computing and AI processor chips; next-generation memory designs; process technologies and materials for key components of sensing devices; unmanned vehicles, AR and VR; IoT systems and security.   5. Organizing Formosa Grand Challenge competitions   The program is held in competitions to engage young people in the development of AI applications.   The government hopes to extend R.O.C.’s industrial advantages and bolster the country’s international competitiveness, giving R.O.C. the confidence to usher in the era of AI applications. All of these efforts will weave people, technologies, facilities, and businesses into a broader AI innovation ecosystem. 6. INTELLIGENT TRANSPORTATION SYSTEM PLANS   Ministry of Transportation and Communications (MOTC) launched plans to develop intelligent transportation systems at March 7th in 2017. MOTC integrates transportation and information and communications technology through these plans to improve the convenience and reduce the congestion of the transportation. These plans combine traffic management systems for highways, freeways and urban roads, a multi-lane free-flow electronic toll collection system, bus information system that provides timely integrated traffic information services, and public transportation fare card readers to reduce transport accidence losses, inconvenience of rural area, congestion of main traffic arteries and improve accessibility of public transportation.   There are six plans are included: 1. Intelligent transportation safety plan; 2. Relieve congestion on major traffic arteries; 3. Make transportation more convenient in Eastern Taiwan and remote areas; 4. Integrate and share transportation resources; 5. Develop “internet-of-vehicles” technology applications; and 6. Fundamental R&D for smart transportation technology.   These plans promote research and development of smart vehicles and safety intersections, develop timely bus and traffic information tracking system, build a safe system of shared, safe and green-energy smart system, and subsidize the large vehicles to install the vision enhancement cameras to improve the safety of transportation. These plans also use eTag readers, vehicle sensors and info communication technologies to gather the traffic information and provide timely traffic guidance, reduce the congestion of the traffic flow. These plans try to use demand-responsive transit system with some measures such as combine public transportation and taxi, to improve the flexibility of the public traffic service and help the basic transportation needs of residents in eastern Taiwan and rural areas to be fulfilled. A mobile transport service interface and a platform that integrating booking and payment processes are also expected to be established to provide door-to-door transportation services and to integrate transportation resources. And develop demonstration projects of speed coordination of passenger coach fleets, vehicle-road interaction technology, and self-driving car to investigate and verify the issues in technological, operational, industrial, legal environments of internet-of-vehicles applications in our country. Last but not least, research and development on signal control systems that can be used in both two and four-wheeled vehicles, and deploy an internet-of-vehicles prototype platform and develop drones traffic applications.   These plans are expected to reduce 25% traffic congestion, 20% of motor vehicle incidence, leverage 10% using rate of public transportation, raise 20% public transportation service accessibility of rural area and create NT$30 billion production value. After accomplishing these targets, the government can establish a comprehensive transportation system and guide industry development of relating technology areas.   Through the aforementioned initiatives, programs, and plans, the government wants to construct the robust legal framework and policy environment for digital innovation development, and facilitate the quality of citizens in our society.

Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations

Hard Law or Soft Law? –Global AI Regulation Developments and Regulatory Considerations 2023/08/18 Since the launch of ChatGPT on November 30, 2022, the technology has been disrupting industries, shifting the way things used to work, bringing benefits but also problems. Several law suits were filed by artists, writers and voice actors in the US, claiming that the usage of copyright materials in training generative AI violates their copyright.[1] AI deepfake, hallucination and bias has also become the center of discussion, as the generation of fake news, false information, and biased decisions could deeply affect human rights and the society as a whole.[2] To retain the benefits of AI without causing damage to the society, regulators around the world have been accelerating their pace in establishing AI regulations. However, with the technology evolving at such speed and uncertainty, there is a lack of consensus on which regulation approach can effectively safeguard human rights while promoting innovation. This article will provide an overview of current AI regulation developments around the world, a preliminary analysis of the pros and cons of different regulation approaches, and point out some other elements that regulators should consider. I. An overview of the current AI regulation landscape around the world The EU has its lead in legislation, with its parliament adopting its position on the AI ACT in June 2023, heading into trilogue meetings that aim to reach an agreement by the end of this year.[3] China has also announced its draft National AI ACT, scheduled to enter its National People's Congress before the end of 2023.[4] It already has several administration rules in place, such as the 2021 regulation on recommendation algorithms, the 2022 rules for deep synthesis, and the 2023 draft rules on generative AI.[5] Some other countries have been taking a softer approach, preferring voluntary guidelines and testing schemes. The UK published its AI regulation plans in March, seeking views on its sectoral guideline-based pro-innovation regulation approach.[6] To minimize uncertainty for companies, it proposed a set of regulatory principles to ensure that government bodies develop guidelines in a consistent manner.[7] The US National Institute of Standards and Technology (NIST) released the AI Risk Management Framework in January[8], with a non-binding Blueprint for an AI Bill of Rights published in October 2022, providing guidance on the design and use of AI with a set of principles.[9] It is important to take note that some States have drafted regulations on specific subjects, such as New York City’s Final Regulations on Use of AI in Hiring and Promotion came into force in July 2023.[10] Singapore launched the world’s first AI testing framework and toolkit international pilot in May 2022, with the assistance of AWS, DBS Bank, Google, Meta, Microsoft, Singapore Airlines, etc. After a year of testing, it open-sourced the software toolkit in July 2023, to better develop the system.[11] There are also some countries still undecided on their regulation approach. Australia commenced a public consultation on its AI regulatory framework proposal in June[12], seeking views on its draft AI risk management approach.[13] Taiwan’s government announced in July 2023 to propose a draft AI basic law by September 2023, covering topics such as AI-related definition, privacy protections, data governance, risk management, ethical principles, and industrial promotion.[14] However, the plan was recently postponed, indicating a possible shift towards voluntary or mandatory government principles and guidance, before establishing the law.[15] II. Hard law or soft law? The pros and cons of different regulatory approaches One of the key advantages of hard law in AI regulation is its ability to provide binding legal obligations and legal enforcement mechanisms that ensure accountability and compliance.[16] Hard law also provides greater legal certainty, transparency and remedies for consumers and companies, which is especially important for smaller companies that do not have as many resources to influence and comply with fast-changing soft law.[17] However, the legislative process can be time-consuming, slower to update, and less agile.[18] This poses the risk of stifling innovation, as hard law inevitably cannot keep pace with the rapidly evolving AI technology.[19] In contrast, soft law represents a more flexible and adaptive approach to AI regulation. As the potential of AI still remains largely mysterious, government bodies can formulate principles and guidelines tailored to the regulatory needs of different industry sectors.[20] In addition, if there are adequate incentives in place for actors to comply, the cost of enforcement could be much lower than hard laws. Governments can also experiment with several different soft law approaches to test their effectiveness.[21] However, the voluntary nature of soft law and the lack of legal enforcement mechanisms could lead to inconsistent adoption and undermine the effectiveness of these guidelines, potentially leaving critical gaps in addressing AI's risks.[22] Additionally, in cases of AI-related harms, soft law could not offer effective protection on consumer rights and human rights, as there is no clear legal obligation to facilitate accountability and remedies.[23] Carlos Ignacio Gutierrez and Gary Marchant, faculty members at Arizona State University (ASU), analyzed 634 AI soft law programs against 100 criteria and found that two-thirds of the program lack enforcement mechanisms to deliver its anticipated AI governance goals. He pointed out that credible indirect enforcement mechanisms and a perception of legitimacy are two critical elements that could strengthen soft law’s effectiveness.[24] For example, to publish stem cell research in top academic journals, the author needs to demonstrate that the research complies with related research standards.[25] In addition, companies usually have a greater incentive to comply with private standards to avoid regulatory shifts towards hard laws with higher costs and constraints.[26] III. Other considerations Apart from understanding the strengths and limitations of soft law and hard law, it is important for governments to consider each country’s unique differences. For example, Singapore has always focused on voluntary approaches as it acknowledges that being a small country, close cooperation with the industry, research organizations, and other governments to formulate a strong AI governance practice is much more important than rushing into legislation.[27] For them, the flexibility and lower cost of soft regulation provide time to learn from industries to prevent forming rules that aren’t addressing real-world issues.[28] This process allows preparation for better legislation at a later stage. Japan has also shifted towards a softer approach to minimize legal compliance costs, as it recognizes its slower position in the AI race.[29] For them, the EU AI Act is aiming at regulating Giant Tech companies, rather than promoting innovation.[30] That is why Japan considers that hard law does not suit the industry development stage they’re currently in.[31] Therefore, they seek to address legal issues with current laws and draft relevant guidance.[32] IV. Conclusion As the global AI regulatory landscape continues to evolve, it is important for governments to consider the pros and cons of hard law and soft law, and also country-specific conditions in deciding what’s suitable for the country. Additionally, a regular review on the effectiveness and impact of their chosen regulatory approach on AI’s development and the society is recommended. [1] ChatGPT and Deepfake-Creating Apps: A Running List of Key AI-Lawsuits, TFL, https://www.thefashionlaw.com/from-chatgpt-to-deepfake-creating-apps-a-running-list-of-key-ai-lawsuits/ (last visited Aug 10, 2023); Protection for Voice Actors is Artificial in Today’s Artificial Intelligence World, The National Law Review, https://www.natlawreview.com/article/protection-voice-actors-artificial-today-s-artificial-intelligence-world (last visited Aug 10, 2023). [2] The politics of AI: ChatGPT and political bias, Brookings, https://www.brookings.edu/articles/the-politics-of-ai-chatgpt-and-political-bias/ (last visited Aug 10, 2023); Prospect of AI Producing News Articles Concerns Digital Experts, VOA, https://www.voanews.com/a/prospect-of-ai-producing-news-articles-concerns-digital-experts-/7202519.html (last visited Aug 10, 2023). [3] EU AI Act: first regulation on artificial intelligence, European Parliament, https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence (last visited Aug 10, 2023). [4] 中國國務院發布立法計畫 年內審議AI法草案,經濟日報(2023/06/09),https://money.udn.com/money/story/5604/7223533 (last visited Aug 10, 2023). [5] id [6] A pro-innovation approach to AI regulation, GOV.UK, https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach/white-paper (last visited Aug 10, 2023). [7] id [8] AI RISK MANAGEMENT FRAMEWORK, NIST, https://www.nist.gov/itl/ai-risk-management-framework (last visited Aug 10, 2023). [9] The White House released an ‘AI Bill of Rights’, CNN, https://edition.cnn.com/2022/10/04/tech/ai-bill-of-rights/index.html (last visited Aug 10, 2023). [10] New York City Adopts Final Regulations on Use of AI in Hiring and Promotion, Extends Enforcement Date to July 5, 2023, Littler https://www.littler.com/publication-press/publication/new-york-city-adopts-final-regulations-use-ai-hiring-and-promotionv (last visited Aug 10, 2023). [11] IMDA, Fact sheet - Open-Sourcing of AI Verify and Set Up of AI Verify Foundation (2023), https://www.imda.gov.sg/-/media/imda/files/news-and-events/media-room/media-releases/2023/06/7-jun---ai-annoucements---annex-a.pdf (last visited Aug 10, 2023). [12] Supporting responsible AI: discussion paper, Australia Government Department of Industry, Science and Resources,https://consult.industry.gov.au/supporting-responsible-ai (last visited Aug 10, 2023). [13] Australian Government Department of Industry, Science and Resources, Safe and responsible AI in Australia (2023), https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_assets/Safe-and-responsible-AI-in-Australia-discussion-paper.pdf (last visited Aug 10, 2023). [14] 張璦,中央通訊社,AI基本法草案聚焦隱私保護、應用合法性等7面向 擬設打假中心,https://www.cna.com.tw/news/ait/202307040329.aspx (最後瀏覽日:2023/08/10)。 [15] 蘇思云,中央通訊社,2023/08/01,鄭文燦:考量技術發展快應用廣 AI基本法延後提出,https://www.cna.com.tw/news/afe/202308010228.aspx (最後瀏覽日:2023/08/10)。 [16] supra, note 13, at 27. [17] id. [18] id., at 28. [19] Soft law as a complement to AI regulation, Brookings, https://www.brookings.edu/articles/soft-law-as-a-complement-to-ai-regulation/ (last visited Aug 10, 2023). [20] supra, note 5. [21] Gary Marchant, “Soft Law” Governance of Artificial Intelligence (2019), https://escholarship.org/uc/item/0jq252ks (last visited Aug 10, 2023). [22] How soft law is used in AI governance, Brookings,https://www.brookings.edu/articles/how-soft-law-is-used-in-ai-governance/ (last visited Aug 10, 2023). [23] supra, note 13, at 27. [24] Why Soft Law is the Best Way to Approach the Pacing Problem in AI, Carnegie Council for Ethics in International Affairs,https://www.carnegiecouncil.org/media/article/why-soft-law-is-the-best-way-to-approach-the-pacing-problem-in-ai (last visited Aug 10, 2023). [25] id. [26] id. [27] Singapore is not looking to regulate A.I. just yet, says the city-state’s authority, CNBC,https://www.cnbc.com/2023/06/19/singapore-is-not-looking-to-regulate-ai-just-yet-says-the-city-state.html#:~:text=Singapore%20is%20not%20rushing%20to,Media%20Development%20Authority%2C%20told%20CNBC (last visited Aug 10, 2023). [28] id. [29] Japan leaning toward softer AI rules than EU, official close to deliberations says, Reuters, https://www.reuters.com/technology/japan-leaning-toward-softer-ai-rules-than-eu-source-2023-07-03/ (last visited Aug 10, 2023). [30] id. [31] id. [32] id.

Introduction to Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials

Introduction to Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials 2023/12/15 The development of digital tools such as the internet, apps, and wearable devices have meant major breakthroughs for clinical trials. These advances have the potential to reduce the frequency of trial subject visits, accelerate research timelines, and lower the costs of drug development. The COVID-19 pandemic has further accelerated the use of digital tools, prompting many countries to adopt decentralized measures that enable trial subjects to participate in clinical trials regardless of their physical location. In step with the transition into the post-pandemic era, the Taiwan Food and Drug Administration (TFDA) issued the Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials in June, 2023[1]. The Guidelines are intended to cover a wide array of decentralized measures; they aim to increase trial subjects’ willingness to participate in trials, reduce the need for in-person visits to clinical trial sites, enhance real-time data acquisition during trials, and enable clinic sponsors and contract research organizations to process data remotely. I. Key Points of Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials The Guidelines cover primarily the following matters: General considerations for implementing decentralized measures; trial subject recruitment and electronic informed consent; delivery and provision of investigational medicinal products; remote monitoring of trial subject safety; trial subject reporting of adverse events; remote data monitoring; and information systems and electronic data collection/processing/storage. 1. General Considerations for Implementing Decentralized Measures (1) During clinical trial execution, a reduction in trial subject in-person visits may present challenges to medical observation. It is recommended that home visits for any given trial subject be conducted by the principal investigator, sub-investigator, or a single, consistent delegated study nurse. (2) Sponsors must carefully evaluate all of the trial design’s decentralization measures to ensure data integrity. (3) Sponsors must conduct risk assessments for each individual trial, and must confirm the rationality of choosing decentralized measures. These decentralized measures must also be incorporated into the protocol. (4) When electronically collecting data, sponsors must ensure information system reliability and data security. Artificial intelligence may be considered for use in decentralized clinical trials; sponsors must carefully evaluate such systems, especially when they touch on determinations for critical data or strategies. (5) As the design of decentralized clinical trials is to ensure equal access to healthcare services, it must provide patients with a variety of ways to participate in clinical trials. (6) When implementing any decentralized measures, it is essential to ensure that the principal investigator and sponsor adhere to the Regulations for Good Clinical Practice and bear their respective responsibilities for the trial. (7) The use of decentralized measures must be stated in the regulatory application, and the Checklist of Decentralized Elements in Medicinal Product Clinical Trials must be included in the submission. 2. Subject Recruitment and Electronic Informed Consent (1) Trial subject recruitment through social media or established databases may only be implemented after the Institutional Review Board reviews and approves of the recruitment methods and content. (2) Must comply with the Principles for Recruiting Clinical Trial Subjects in medicinal product trials, the Personal Data Protection Act, and other regulations. (3) Regarding clinical trial subject informed consent done through digital software or devices, if it complies with Article 4, Paragraph 2 of the Electronic Signatures Act, that is, if the content can be displayed in its entirety and continues to be accessible for subsequent reference, then so long as the trial subject agrees to do so, the signature may be done via a tablet or other electronic device. The storage of signed electronic Informed Consent Forms (eICF) must align with the aforementioned Principles and meet the competent authority’s access requirements. 3. Delivery and Provision of Investigational Medicinal Products (1) The method of delivering and providing investigational medicinal products and whether trial subjects can use them on their own at home depends to a high degree on the investigational medicinal product’s administration route and safety profile. (2) When investigational medicinal products are delivered and provided through decentralized measures to trial subjects, this must be documented in the protocol. The process of delivering and providing said products must also be clearly stated in the informed consent form; only after being explained to a trial subject by the trial team, and after the trial subject’s consent is obtained, may such decentralized measures be used. (3) Investigational products prescribed by the principal investigator/sub-investigator must be reviewed by a delegated pharmacist to confirm that the investigational products’ specific items, dosage, duration, total quantity, and labeling align with the trial design. The pharmacist must also review each trial subject’s medication history, to ensure there are no medication-related issues; only then, and only in a manner that ensures the investigational product’s quality and the subject’s privacy, may delegated and specifically-trained trial personnel provide the investigational product to the subject. (4) Compliance with relevant regulations such as the Pharmaceutical Affairs Act, Pharmacists Act, Regulations on Good Practices for Drug Dispensation, and Regulations for Good Clinical Practice is required. 4. Remote Monitoring of Subject Safety (1) Decentralized trial designs involve trial subjects performing relatively large numbers of trial-related procedures at home. The principal investigator must delegate trained, qualified personnel to perform tasks such as collecting blood samples, administering investigational products, conducting safety monitoring, doing adverse event tracking, etc. (2) If trial subjects receive protocol-prescribed testing at nearby medical facilities or laboratories rather than at the original trial site, these locations must be authorized by the trial sponsor and must have relevant laboratory certification; only then may they collect or analyze samples. Such locations must provide detailed records to the principal investigator, to be archived in the trial master file. (3) The trial protocol and schedule must clearly specify which visits must be conducted at the trial site; which can be conducted via phone calls, video calls, or home visits; which tests must be performed at nearby laboratories; and whether trial subjects have multiple or single options at each visit. 5. Subject Reporting of Adverse Events (1) If the trial uses a digital platform to enhance adverse event reporting, trial subjects must be able to report adverse events through the digital platform, such as via a mobile phone app; that is, the principal investigator must be able to immediately access such adverse event information. (2) The principal investigator must handle such reports using risk-based assessment methods. The principal investigator must validate the adverse event reporting platform’s effectiveness, and must develop procedures to identify potential duplicate reports. 6. Remote Data Monitoring (1) If a sponsor chooses to implement remote monitoring, it must perform a reasonability assessment to confirm the appropriateness of such monitoring and establish a remote monitoring plan. (2) The monitoring plan must include monitoring strategies, monitoring personnel responsibilities, monitoring methods, rationale for such implementation, and critical data and processes that must be monitored. It must also generate comprehensive monitoring reports for audit purposes. (3) The sponsor is responsible for ensuring the implementation of remote monitoring, and must conduct risk assessments regarding the implementation process’ data protection and information confidentiality. 7. Information Systems and Electronic Data Collection, Processing, and Storage (1) In accordance with the Regulations for Good Clinical Practice, data recorded in clinical trials must be trustworthy, reliable, and verifiable. (2) It must be ensured that all organizations participating in the clinical trial have a full picture of the data flow. It is recommended that the trial protocol and trial-related documents include data flow diagrams and additional explanations. (3) Define the types and scopes of subject personal data that will be collected, and ensure that every step in the process properly protects their data in accordance with the Personal Data Protection Act. II. A Comparison with Decentralized Trial Regulations in Other Countries Denmark became the first country in the world to release regulatory measures on decentralized trials, issuing the “Danish Medicines Agency’s Guidance on the Implementation of Decentralized Elements in Clinical Trials with Medicinal Products” in September 2021[2]. In December 2022, the European Union as a whole released its “Recommendation Paper on Decentralized Elements in Clinical Trials”[3]. The United States issued the draft “Decentralized Clinical Trials for Drugs, Biological Products, and Devices” document in May 2023[4]. The comparison in Table 1 shows that Taiwan’s guidelines a relatively similar in structure to those of Denmark and the EU; the US guidelines also cover medical device clinical trials. Table 1: Summary of Decentralized Clinical Trial Guidelines in Taiwan, Denmark, the European Union as a whole, and the United States Taiwan Denmark European Union as a whole United States What do the guidelines apply to? Medicinal products Medicinal products Medicinal products Medicinal products and medical devices Trial subject recruitment and electronic informed consent Covers informed consent process; informed consent interview; digital information sheet; trial subject consent form signing; etc. Covers informed consent process; informed consent interview; trial subject consent form signing; etc. Covers informed consent process; informed consent interview; digital information sheet; trial subject consent form signing; etc. Covers informed consent process; informed consent interview; etc. Delivery and provision of investigational medicinal products Delegated, specifically-trained trial personnel deliver and provide investigational medicinal products. The investigator or delegated personnel deliver and provide investigational medicinal products. The investigator, delegated personnel, or a third-party, Good Distribution Practice-compliant logistics provider deliver and provide investigational medicinal products. The principal investigator, delegated personnel, or a distributor deliver and provide investigational products. Remote monitoring of trial subject safety Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits, and may undergo testing at nearby laboratories. Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits, and may undergo testing at nearby laboratories. Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits. Trial subjects may do return visits at trial sites, via phone calls, via video calls, or via home visits, and may undergo testing at nearby laboratories. Trial subject reporting of adverse events Trial subjects may self-report adverse events through a digital platform. Trial subjects may self-report adverse events through a digital platform. Trial subjects may self-report adverse events through a digital platform. Trial subjects may self-report adverse events through a digital platform. Remote data monitoring The sponsor may conduct remote data monitoring. The sponsor may conduct remote data monitoring. The sponsor may conduct remote data monitoring (not permitted in some countries). The sponsor may conduct remote data monitoring. Information systems and electronic data collection, processing, and storage The recorded data must be credible, reliable, and verifiable. Requires an information system that is validated, secure, and user-friendly. The recorded data must be credible, reliable, and verifiable. Must ensure data reliability, security, privacy, and confidentiality. III. Conclusion The implementation of decentralized clinical trials must be approached with careful assessment of risks and rationality, with trial subject safety, rights, and well-being as top priorities. Since Taiwan’s Guidelines for Implementing Decentralized Elements in Medicinal Product Clinical Trials were just announced in June of this year, the status of decentralized clinical trial implementation is still pending industry feedback to confirm feasibility. The overall goal is to enhance and optimize the clinical trial environment in Taiwan. [1] 衛生福利部食品藥物管理署,〈藥品臨床試驗執行分散式措施指引〉,2023/6/12,https://www.fda.gov.tw/TC/siteListContent.aspx?sid=9354&id=43548(最後瀏覽日:2023/11/2)。 [2] [DMA] DANISH MEDICINES AGENCY, The Danish Medicines Agency’s guidance on the Implementation of decentralised elements in clinical trials with medicinal products (2021),https://laegemiddelstyrelsen.dk/en/news/2021/guidance-on-the-implementation-of-decentralised-elements-in-clinical-trials-with-medicinal-products-is-now-available/ (last visited Nov. 2, 2023). [3] [HMA] HEADS OF MEDICINES AGENCIES, [EC] EUROPEAN COMMISSION & [EMA] EUROPEAN MEDICINES AGENCY, Recommendation paper on decentralised elements in clinical trials (2022),https://health.ec.europa.eu/latest-updates/recommendation-paper-decentralised-elements-clinical-trials-2022-12-14_en (last visited Nov. 2, 2023). [4] [US FDA] US FOOD AND DRUG ADMINISTRATION, Decentralized Clinical Trials for Drugs, Biological Products, and Devices (draft, 2023),https://www.fda.gov/regulatory-information/search-fda-guidance-documents/decentralized-clinical-trials-drugs-biological-products-and-devices (last visited Nov. 2, 2023).

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