A5032317906- Ethics in Clinical Research
- Biomedical Ethics and Regulation
- Ethics in medical practice
- Artificial Intelligence in Healthcare and Education
- Law, AI, and Intellectual Property
- Healthcare cost, quality, practices
- Ethics and Social Impacts of AI
- Intellectual Property and Patents
- Ethics and Legal Issues in Pediatric Healthcare
- CRISPR and Genetic Engineering
- Pharmaceutical Economics and Policy
- Viral Infections and Outbreaks Research
- Health Systems, Economic Evaluations, Quality of Life
- Global Security and Public Health
- Medical Malpractice and Liability Issues
- Legal Education and Practice Innovations
- Patient Dignity and Privacy
- Pluripotent Stem Cells Research
- Global Health Care Issues
- Healthcare Systems and Reforms
- Public Health Policies and Education
- Palliative Care and End-of-Life Issues
- Race, Genetics, and Society
- Genetic Associations and Epidemiology
- Zoonotic diseases and public health
University of Hong Kong
2010-2025
Monash University
2024-2025
University of Cambridge
2010-2025
PHG Foundation
2024-2025
Australian Regenerative Medicine Institute
2024
Denali Therapeutics (United States)
2022
Chinese University of Hong Kong
2010-2021
University of Leicester
2021
National University of Singapore
2012-2020
University of Oxford
2013-2014
The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical genomic data through both harmonized aggregation federated approaches. decreasing cost sequencing (along with other genome-wide molecular assays) increasing evidence its utility will soon drive generation sequence from tens millions humans, levels diversity. In this perspective, we present GA4GH strategies addressing major challenges revolution. We...
Abstract Artificial intelligence (AI) enables a medical device to optimize its performance through machine learning (ML), including the ability learn from past experiences. In healthcare, ML is currently applied within controlled settings in devices diagnose conditions like diabetic retinopathy without clinician input, for instance. order allow AI-based (AIMDs) adapt actively data environment ML, current risk-based regulatory approaches are inadequate facilitating this technological...
Technological advances in big data (large amounts of highly varied from many different sources that may be processed rapidly), sciences and artificial intelligence can improve health-system functions promote personalized care public good. However, these technologies will not replace the fundamental components health system, such as ethical leadership governance, or avoid need for a robust regulatory environment. In this paper, we discuss what environment might look like analytics insurance,...
are trying to find ways ease some restrictions while also minimizing public health risk.2][13] In doing so, governments recognize that they may need reverse course and impose more restrictive measures again, if data show increasing spread of SARS-CoV-2.
Abstract Research, innovation, and progress in the life sciences are increasingly contingent on access to large quantities of data. This is one key premises behind “open science” movement global calls for fostering sharing personal data, datasets, research results. paper reports outcomes discussions by panel “Open science, data solidarity: who benefits?” held at 2021 Biennial conference International Society History, Philosophy, Social Studies Biology (ISHPSSB), hosted Cold Spring Harbor...
The operationalization of One Health (OH) through digitalization is a means to deploy digital technologies (including Artificial Intelligence (AI), big data and related technologies) better capacitate us deal with growing climate exigency threats human, animal plant health. With reference the concept Digital (ODH), this paper considers how capabilities can help overcome ‘operational brakes’ in OH new deeper insights, predictions, more targeted or precise preventive strategies public health...
Many countries consider long-term implications for society.
Background During health emergencies, effective infodemic management has become a paramount challenge. A new era marked by rapidly changing information ecosystem, combined with the widespread dissemination of misinformation and disinformation, magnified complexity issue. For measures to be effective, acceptable, trustworthy, robust framework ethical considerations is needed. Objective This systematic scoping review aims identify analyze procedural principles relevant management, ultimately...
ABSTRACT The World Congress of Bioethics held in Qatar 2024 (WCB 2024) sparked controversy around the role religion bioethics, highlighting need for critical discussions. During congress, there was a strong push incorporating religious values into bioethical discourse, raising questions about validity and implications such an approach. This paper examines influence thought on discussions, ongoing debate over perspectives this field. Here, we explore Jecker colleagues’ pluriversal framework,...
This article refers to:Patenting Foundational Technologies: Lessons From CRISPR and Other Core Biotechnologies
Abstract With focus on the development and use of artificial intelligence (AI) systems in digital health context, we consider following questions: How does European Union (EU) seek to facilitate uptake trustworthy AI through Act? What trustworthiness trust mean Act, how are they linked some ongoing discussions these terms bioethics, law, philosophy? normative components trustworthiness? And do requirements Act relate components? We first explain EU seeks create an epistemic environment...
Abstract The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present centralized score calculator currently containing over 250,000 genetic variant associations from NHGRI-EBI GWAS Catalog for users easily sample-specific with comparable results other available tools. Polygenic are calculated either online through Risk Score Knowledge Base (PRSKB;...