We focus on new and emerging scientific opportunities for health, such as the power of AI to harness the wealth of data generated by genomics and ‘omics technologies. Our analyses of the potential impact of such tools on health services and society let us provide practical and realistic policy guidance grounded in sound science, law and ethics alongside medical needs and human concerns.
Beyond genomics
New technologies are transforming how we tackle global health challenges, from infectious disease threats such as coronavirus, MRSA and Ebola to the burdens of cancer, heart disease and dementia
Research Looking to the future of health
We have a special interest in genomics, but there are other technologies that could change the way we manage our health
Report Artificial intelligence for genomic medicine
Looking beyond the hype, our report examines current uses of AI and where it might be heading
Blog Citizen generated data in a pandemic
Citizen generated data is being used to tackle the spread of coronavirus – but what are the ethical implications?
Explainer What is transcriptomics?
Understanding the transcriptome, including the role of many of the RNA molecules in the cell, is a daunting analytical challenge
NewsArtificial intelligence for genomic medicine
New report sets out seven policy imperatives for the effective delivery of AI-enhanced healthcare
ReportArtificial intelligence for genomic medicine
Looking beyond the hype, our report examines current uses of AI and where it might be heading
BlogGenomics and Artificial Intelligence – a good match?
PHG Foundation report examines how AI is currently being used, where things might be heading, and the challenges ahead
BlogPutting AI to work against COVID-19
What use AI in the face of the massively disruptive effects of a serious infectious disease outbreak?
BlogCitizen generated data in a pandemic
Citizen generated data is being used to tackle the spread of coronavirus – but what are the ethical implications?
Discussion paperWhy explainable machine learning matters for health
In healthcare, machine learning has many potential applications, though its use raises a number of concerns
Discussion paperA right to explanation?
How the GDPR requirement for a right to explanation has consequences for the use of machine learning in healthcare