A5047818595- Intellectual Property and Patents
- Biomedical Ethics and Regulation
- Ethics in Clinical Research
- Pharmaceutical Economics and Policy
- Law, AI, and Intellectual Property
- Artificial Intelligence in Healthcare and Education
- CRISPR and Genetic Engineering
- Health Systems, Economic Evaluations, Quality of Life
- Biotechnology and Related Fields
- Ethics and Social Impacts of AI
- Science, Research, and Medicine
- Innovation Policy and R&D
- European and International Law Studies
- Neuroethics, Human Enhancement, Biomedical Innovations
- Biosimilars and Bioanalytical Methods
- Genetically Modified Organisms Research
- Privacy, Security, and Data Protection
- Digitalization, Law, and Regulation
- Blockchain Technology Applications and Security
- Antibiotic Use and Resistance
- Pluripotent Stem Cells Research
- European Criminal Justice and Data Protection
- Taxation and Legal Issues
- Privacy-Preserving Technologies in Data
- Pharmaceutical industry and healthcare
University of Copenhagen
2016-2025
University of Cambridge
2020-2024
London Mathematical Laboratory
2024
Harvard University
2024
Queen Mary University of London
2022
The Honourable Society of Lincoln's Inn
2022
Tilburg University
2022
Signify (Netherlands)
2022
Philips (Netherlands)
2022
Kyushu University
2022
This Viewpoint discusses how regulators across the world should approach legal and ethical challenges, including privacy, device regulation, competition, intellectual property rights, cybersecurity, liability, raised by medical use of large language models.
This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in health care suggest directions for resolving them. Section 1 briefly clarify what AI is 2 give an idea of trends strategies United States (U.S.) Europe, thereby tailoring discussion to debate AI-driven care. be followed 3 a four primary challenges, namely:(1) informed consent use, (2) safety transparency, (3) algorithmic fairness biases, (4) data privacy. 4 then analyze five U.S. Europe: (1)...
The tragic failure of the global supply chain in face current coronavirus outbreak has caused acute shortages essential frontline medical devices and personal protective equipment, crushing fear among health workers causing fundamental concerns about sustainability system. Much more coordination, integration, management chains will be needed to mitigate impact pandemics. This article describes pressing need revisit governance resilience that amplified crisis at pandemic scale. We propose a...
Abstract Companies and healthcare providers are developing implementing new applications of medical artificial intelligence, including the intelligence sub-type machine learning (MML). MML is based on application (ML) algorithms to automatically identify patterns act data guide clinical decisions. poses challenges raises important questions, (1) How will regulators evaluate MML-based devices ensure their safety effectiveness? (2) What additional considerations should be taken into account in...
Collaboration is central for initiatives and efforts in the race to fight COVID-19, with particular focus on fostering rapid development of safe effective COVID-19 vaccines. We investigated types partnerships that have emerged during pandemic develop these products. Using World Health Organization's list vaccine developments, we found nearly one third all candidates were developed by partnerships, which tended use next-gen platforms more than solo efforts. These vary substantially between...
The severity of the COVID‐19 pandemic confronts us with a global grand challenge representing an unprecedented crisis for health, economies, and societies. While digital champions are thriving, large number businesses industries have been facing radical uncertainty, pushing some to edge collapse. This emergency calls new ways look at organizational ambidexterity business model innovation. In this paper, we present discuss unique case study low‐cost airline, AirAsia. With their fleet aircraft...
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Massive, rapid production will require firms to share know-how not just about what make but how it
Abstract This paper proposes a set of guiding principles for responsible quantum innovation. The are organized into three functional categories: safeguarding, engaging , and advancing (SEA), linked to central values in research innovation (RRI). Utilizing global equity normative framework literature-based methodology, we connect the quantum-SEA categories promise perils specific technology (QT). operationalizes QT by proposing ten actionable help address risks, challenges, opportunities...
This cross-sectional study investigates the scope and breadth of artificial intelligence use in drug development.
How will research respond to a changing regulatory space?
This article contributes to the policy dialogue about how govern healthcare data in AI era and incentivize patients share their data. Existing approaches data-sharing restrict flow of Yet, as technologies rely on enhancing scope, such lack hinders creation future applications diminishes need for furnish them. We shift attention a GDPR based that does not flows argue existing experience monetizing digitalized copyright material music can offer practical well tested solution.
Abstract In July 2023, the United States and European Union introduced Data Privacy Framework (DPF), introducing third generation of cross-border data transfer agreements constituting adequacy with respect to personal transfers under General Protection Regulation (GDPR) between (EU) US. This framework may be used in healthcare research relationships, which are highly desirable increasingly essential innovative health technology development services deployment. A reliable model meeting EU...
The European Union's Artificial Intelligence Act (AIA), which took effect on August 1, 2024, establishes the world's first comprehensive legal framework for AI, with significant implications medical AI development and deployment worldwide. This article analyzes AIA's key physicians innovators in United States. We examine Act's risk-based approach, extraterritorial reach, potential to influence global policy. outline provisions of AIA systems discuss its measures support innovation. As...
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Objective: To examine surgeons’ perspectives on liability for using artificial intelligence (AI)-driven technologies in surgery the United States and European Union. Background: The introduction of AI-driven can improve surgical performance patient outcomes. However, risks might inhibit their implementation operating room. We report here results a focus group study that explored Methods: Participants were identified through call participation disseminated personal professional networks....