A surprising solution to handle our ever increasing volume of data might be a substance operating at a much smaller scale – ...

The most promising of these rapid horizon-scanning analyses often develop into an in-depth research project. You can find policy briefings for these with their related reports on the publications page ...

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The European Union introduced the General Data Protection Regulation (GDPR) in 2018 and it forms part of current UK law. A long and complex piece of legislation, the GDPR governs the processing of ...

Transcriptomics is the analysis of the transcriptome, the collection of all ribonucleic acid (RNA) that is present in a sample (a cell, tissue or organ) at a given time. RNA performs many functions ...

The potential of polygenic scores to improve risk stratification has reignited enthusiasm around the use of genetic information to help predict and prevent common disease. A new report from the PHG ...

Advances in clinical genomics have been enabled by short-read sequencing (SRS) technologies, where the DNA is broken into pieces up to 300 base pairs long. While these technologies have many ...

Synthetic data—artificial data that closely mimic the properties and relationships of real data—are not a new concept but technological advances have led to great optimism about their potential for ...

The Wellcome Trust recently announced that they are funding a research programme to investigate synthetic human genomes, and Laura Blackburn, PHG Foundation’s Head of Science, had the opportunity to ...

Visual identifiers in the care of people with dementia, addresses the ethical and legal issues affecting the use of visual identifiers in hospitals, exploring issues such as patient autonomy, consent, ...

Before joining the PHG Foundation, Pete was an Associate Director at the UK’s Nuffield Council on Bioethics, where he directed the Council’s work programme on genome editing. Pete brings extensive ...

A series of reports each examining a different aspect of the problem of human interpretability of machine learning in healthcare and research. In clarifying the requirements for transparency and ...