Machine learning and AI
S1R1C1
 

Progress with data technologies, such machine learning and AI, are increasingly inseparable from discussion and application of genomic and other ‘omic technologies. Our analysis considers the key regulatory, governance and ethical questions, underpinned by reviews of the scientific landscape.
S2R1C1
 

Regulation of data, AI and medical devices

Recent developments  – at national and international levels  – in the regulation and governance of data, AI and medical devices are having significant impacts on the application of technology for health.

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S3R1C1
 

What is multiomics? How does AI fit into it? What impact could it have in real-world healthcare? These are some of the questions we asked multidisciplinary group of professionals at our 2025 roundtable.

AI-driven multiomics and health

Published 2025
S4R1C1

Report and policy briefing on the intersection between AI and genomics, the drivers behind the rise of AI techniques for genomics and emerging applications.

Artificial intelligence for genomic medicine

Published 2020
S4R1C2

A series of reports, each examining a different aspect of the problem of human interpretability of machine learning in healthcare and research.

Black box medicine and transparency

Published 2020
S4R1C3