A5087306590- Ethics in Clinical Research
- Biomedical Ethics and Regulation
- Artificial Intelligence in Healthcare and Education
- Health Systems, Economic Evaluations, Quality of Life
- CRISPR and Genetic Engineering
- Ethics and Social Impacts of AI
- Dementia and Cognitive Impairment Research
- Neuroethics, Human Enhancement, Biomedical Innovations
- Frailty in Older Adults
- Pluripotent Stem Cells Research
- Mobile Health and mHealth Applications
- Ethics in medical practice
- Science, Research, and Medicine
- Psychology of Moral and Emotional Judgment
- Cancer Genomics and Diagnostics
- Biomedical and Engineering Education
- Privacy-Preserving Technologies in Data
- Health disparities and outcomes
- Bioinformatics and Genomic Networks
- COVID-19 Digital Contact Tracing
- Genomics and Rare Diseases
- Social Media in Health Education
- Reproductive Health and Technologies
- Nutrition and Health in Aging
- Gene Regulatory Network Analysis
ETH Zurich
2017-2025
Board of the Swiss Federal Institutes of Technology
2022-2024
Johns Hopkins Berman Institute of Bioethics
2023
Johns Hopkins University
2023
John Brown University
2023
Inserm
2012-2019
Université Toulouse III - Paul Sabatier
2012-2019
École Polytechnique Fédérale de Lausanne
2019
European School of Molecular Medicine
2013-2018
Sapienza University of Rome
2018
Abstract Background Explainability is one of the most heavily debated topics when it comes to application artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown outperform humans certain analytical tasks, lack explainability continues spark criticism. Yet, not a purely technological issue, instead invokes host medical, legal, ethical, and societal questions that require thorough exploration. This paper provides comprehensive assessment role medical AI makes...
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, accountability to earn the trust of patients clinicians.
Adaptive governance can help earn social license
Artificial intelligence (AI) has the potential to transform clinical decision-making as we know it. Powered by sophisticated machine learning algorithms, decision support systems (CDSS) can generate unprecedented amounts of predictive information about individuals' health. Yet, despite these promote proactive and improve health outcomes, their utility impact remain poorly understood due still rare application in practice. Taking example AI-powered CDSS stroke medicine a case point, this...
Information and communication technologies have long become prominent components of health systems. Rapid advances in digital data science over the last few years are predicted to a vast impact on care services, configuring paradigm shift into what is now commonly referred as health. Forecasted curb rising costs well improve system efficiency safety, success heavily relies trust from professional end users, administrators, patients. Yet, counts building blocks systems has so far remained...
To address the ethical challenges in big data health research we propose concept of systemic oversight. This approach is based on six defining features (adaptivity, flexibility, monitoring, responsiveness, reflexivity, and inclusiveness) aims at creating a common ground across oversight pipeline biomedical research. Current trends towards enhancing granularity informed consent specifying legal provisions to informational privacy discrimination concerns data-driven are laudable. However,...
Empirical evidence suggests that while people hold the capacity to control their data in high regard, they increasingly experience a loss of over online world. The exert generation and flow personal information is fundamental premise important values such as autonomy, privacy, trust. In healthcare clinical research this generally achieved indirectly, by agreeing specific conditions informational exposure. Such can be openly stated informed consent documents or implicit norms confidentiality...
The SARS-CoV-2 pandemic is a public health challenge of unprecedented scale. In the midst first wave pandemic, governments worldwide introduced digital contact tracing systems as part strategy to contain spread virus. Europe, after intense discussion about privacy-related risks involving policymakers, technology experts, information companies, and—albeit limited extent—the at large, technical protocols were created support development privacy-compatible proximity apps. However, second sweeps...
Precision medicine promises to develop diagnoses and treatments that take individual variability into account. According most specialists, turning this promise reality will require adapting the established framework of clinical research ethics, paying more attention participants' attitudes towards sharing genotypic, phenotypic, lifestyle data health records, ultimately their desire be engaged as active partners in medical research. Notions such participation, engagement partnership have been...
Artificial intelligence (AI) systems, especially those employing machine learning methods, are often considered black boxes, that is, systems whose inner workings and decisional logics remain fundamentally opaque to human understanding. In this article, we set out clarify what the new General Data Protection Regulation (GDPR) says on profiling automated decision-making systems. More specifically, focus application of such in domain healthcare. We conducted a conceptual analysis notion...
We explored the characteristics and motivations of people who, having obtained their genetic or genomic data from Direct-To-Consumer testing (DTC-GT) companies, voluntarily decide to share them on publicly accessible web platform openSNP. The study is first attempt describe open sharing activities undertaken by individuals without institutional oversight. In paper we provide a detailed overview distribution demographic engaged in sharing. geographical respondents showed USA as dominant....
Spurred by recent advances in machine learning and electronic hardware, digital health promises to profoundly transform medicine. At the same time, however, it raises conspicuous ethical regulatory issues. This has led a growing number of calls for responsible health. Based on stakeholder engagement methods, this paper sets out identify core impediments hindering Switzerland. We developed participatory research methodology access stakeholders' fragmented knowledge health, engaging 46...
Abstract Digital health innovation is expected to transform healthcare, but it also generates ethical and societal concerns, such as privacy risks, biases that can compound existing inequalities. While concerns are widely recognized, regulatory principles, oversight methods frameworks seem out of sync with digital innovation. New governance best practices thus needed bring principles bear the reality business, innovation, regulation. To grant practical insight into for responsible we...
There are intense discussions about the ethical and societal implications of biomedical engineering, but little data to suggest how scientists think ethics their work. The aim this study is describe frame research, with a focus on field molecular systems engineering.
Transcription factor (TF)–induced reprogramming of somatic cells into induced pluripotent stem (iPSC) is associated with genome-wide changes in chromatin modifications. Polycomb-mediated histone H3 lysine-27 trimethylation (H3K27me3) has been proposed as a defining mark that distinguishes the from iPSC epigenome. Here, we dissected functional role H3K27me3 TF–induced through inactivation H3K27 methylase EZH2 at onset reprogramming. Our results demonstrate surprisingly establishment proceeds...
Emerging trends in pervasive computing and medical informatics are creating the possibility for large-scale collection, sharing, aggregation analysis of unprecedented volumes data, a phenomenon commonly known as big data. In this contribution, we review existing scientific literature on data approaches to dementia, well commercially available mobile-based applications domain. Based these analyses, identify major promises challenges associated with dementia research care. Our suggests that...