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Berichten met de tag Artificial Intelligence
Safeguards for accelerated market authorization of vaccines in Europe

by Suzan Slijpen & Mauritz Kop

This article has been published by the Stanford Law School ‘Center for Law and the Biosciences’, Stanford University, 15 March 2021. link to the full text: https://law.stanford.edu/2021/03/15/safeguards-for-accelerated-market-authorization-of-vaccines-in-europe/

The first COVID-19 vaccines have been approved

People around the globe are concerned about safety issues encircling the accelerated introduction of corona vaccines. In this article, we discuss the regulatory safeguards for fast-track market authorization of vaccines in Europe. In addition, we explain how the transmission of European Union law into national Member State legislation works. We then clarify what happens before a drug can be introduced into the European market. We conclude that governments should build bridges of mutual understanding between communities and increase trust in the safety of authorized vaccines across all population groups, using the right messengers.

Drug development normally takes several years

Drug development normally takes several years. The fact that it has been a few months now seems ridiculously short. How is the quality and integrity of the vaccine ensured? That people - on both sides of the Atlantic - are concerned about this is entirely understandable. How does one prevent citizens from being harmed by vaccines and medicines that do not work for everyone, because the admission procedures have been simplified too much?

The purpose of this article is to shed a little light upon the accelerated market authorization procedures on the European continent, with a focus on the situation in the Netherlands.

How a vaccine is introduced into the market

In June 2020, the Dutch government, in close cooperation with Germany, France and Italy, formed a Joint Negotiation Team which, under the watchful eye of the European Commission, has been negotiating with vaccine developers. Its objective: to conclude agreements with drug manufacturers at an early stage about the availability of vaccines for European countries. In case these manufacturers are to succeed in developing a successful vaccine for which the so-called Market Authorization (MA) is granted by EMA or CBG, this could lead to the availability of about 50 million vaccines (for the Netherlands alone).

Who is allowed to produce these vaccines?

Who is allowed to produce these vaccines? The Dutch Medicines Act is very clear about this. Only "market authorization holders" are allowed to manufacture medicines, including vaccines. These are parties that have gone through an extensive application procedure, who demonstrably have a solid pharmaceutical quality management system in place and have obtained a pharmaceutical manufacturing license (the MIA, short for Manufacturing and Importation Authorisation). This license is granted after assessment by the Health and Youth Care Inspectorate of the Ministry of Health, Welfare & Sport (IGJ) – by Farmatec. Farmatec is part of the CIBG, an implementing body of the Ministry of Health, Welfare and Sport (VWS). The M-license is mandatory for parties who prepare, or import medicines.

Read more at the Stanford Center for Law and the Biosciences!

Read more on manufacturing licenses, fast track procedures and market authorization by the European Medicines Agency (EMA) and the EC, harmonisation and unification of EU law, CE-markings, antigenic testing kits, mutations, reinfection, multivalent vaccines, mucosal immunity, Good Manufacturing Practices (GMP), pharmacovigilance, the HERA Incubator, clinical trials, compulsory vaccination regimes and continuous quality control at Stanford!

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Machine Learning & EU Data Sharing Practices

Stanford - Vienna Transatlantic Technology Law Forum, Transatlantic Antitrust and IPR Developments, Stanford University, Issue No. 1/2020

New multidisciplinary research article: ‘Machine Learning & EU Data Sharing Practices’.

In short, the article connects the dots between intellectual property (IP) on data, data ownership and data protection (GDPR and FFD), in an easy to understand manner. It also provides AI and Data policy and regulatory recommendations to the EU legislature.

As we all know, machine learning & data science can help accelerate many aspects of the development of drugs, antibody prophylaxis, serology tests and vaccines.

Supervised machine learning needs annotated training datasets

Data sharing is a prerequisite for a successful Transatlantic AI ecosystem. Hand-labelled, annotated training datasets (corpora) are a sine qua non for supervised machine learning. But what about intellectual property (IP) and data protection?

Data that represent IP subject matter are protected by IP rights. Unlicensed (or uncleared) use of machine learning input data potentially results in an avalanche of copyright (reproduction right) and database right (extraction right) infringements. The article offers three solutions that address the input (training) data copyright clearance problem and create breathing room for AI developers.

The article contends that introducing an absolute data property right or a (neighbouring) data producer right for augmented machine learning training corpora or other classes of data is not opportune.

Legal reform and data-driven economy

In an era of exponential innovation, it is urgent and opportune that both the TSD, the CDSM and the DD shall be reformed by the EU Commission with the data-driven economy in mind.

Freedom of expression and information, public domain, competition law

Implementing a sui generis system of protection for AI-generated Creations & Inventions is -in most industrial sectors- not necessary since machines do not need incentives to create or invent. Where incentives are needed, IP alternatives exist. Autonomously generated non-personal data should fall into the public domain. The article argues that strengthening and articulation of competition law is more opportune than extending IP rights.

Data protection and privacy

More and more datasets consist of both personal and non-personal machine generated data. Both the General Data Protection Regulation (GDPR) and the Regulation on the free flow of non-personal data (FFD) apply to these ‘mixed datasets’.

Besides the legal dimensions, the article describes the technical dimensions of data in machine learning and federated learning.

Modalities of future AI-regulation

Society should actively shape technology for good. The alternative is that other societies, with different social norms and democratic standards, impose their values on us through the design of their technology. With built-in public values, including Privacy by Design that safeguards data protection, data security and data access rights, the federated learning model is consistent with Human-Centered AI and the European Trustworthy AI paradigm.

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Suzan Slijpen Conference Speaker at the National University of Ireland

Legal Aspects of AI in Healthcare

On 16 August 2019, Suzan Slijpen LL.M. had the honour to speak about the legal aspects of the development and use of artificial intelligence (a disruptive technology) in healthcare, at the AI in Medicine Conference organized by the Irish Association of Physicists in Medicine (IAPM). The conference took place in Galway, at the National University of Ireland (School of Physics, NUI Galway/ OÉ Gaillimh). Suzan is a senior legal consultant at AIRecht.nl, and specializes in eHealth & medical devices, pharmaceutical law, European food law and contract law, from an AI helicopterview. She is also founder and lawyer at boutique law office Slijpen Legal.

Key topics of the Artificial Intelligence in Medicine lecture

Key legal topics that Suzan addressed in her Artificial Intelligence in Medicine lecture:

1. AI & Robotics: Disruptive Technologies: Synergetic effects of 4th Industrial Revolution technologies like robotics, big data, quantum computing, Blockchain, Virtual Reality (VR) and Internet of Things (IoT).

2. eHealth and medical devices: legal classification.

3. Fundamental Rights: Safeguarding of Fundamental Rights in AI applications, Rights of Patients.

4. Ethics and responsible AI: 1791 French Revolution Values, HLEG Concept of Trustworthy AI.

5. Intellectual Property on AI and Health Apps: Licensing your IP.

6. Liability for damages caused by smart robots: who is liable for misdiagnosis by an AI algorithm?

7. Legislation and Jurisprudence.

8. AI Impact Assessment: remove roadblocks for AI.

Legislation and regulations regarding AI in Healthcare

Do you want to know more about legislation and regulations regarding AI in Healthcare, or Legal aspects of disruptive tech in Medicine? Or do you want to organize a workshop or conference yourself and invite us as a speaker or teacher? Then please contact us about the possibilities!

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