Euan A. Ashley

Sep 11, 2024 | nature.com | Manik Garg |Lawrence Middleton |Eleanor Wheeler |Katherine Smith |Euan A. Ashley |Andrew Harper | +2 more

AbstractThe emergence of biobank-level datasets offers new opportunities to discover novel biomarkers and develop predictive algorithms for human disease. Here, we present an ensemble machine-learning framework (machine learning with phenotype associations, MILTON) utilizing a range of biomarkers to predict 3,213 diseases in the UK Biobank.

Aug 13, 2024 | journals.physiology.org | Daniel Katz |Maléne Lindholm |Euan A. Ashley

Physical activity plays a fundamental role in human health and disease. Exercise has been shown to improve a wide variety of disease states, and the scientific community is committed to understanding the precise molecular mechanisms that underlie the exquisite benefits. This review provides an overview of molecular responses to acute exercise and chronic training, particularly energy mobilization and generation, structural adaptation, inflammation, and immune regulation.

Dec 11, 2023 | ai.nejm.org | Daphne Koller |Andrew Beam |Euan A. Ashley |Xiaoxuan Liu

Published December 11, 2023NEJM AI 2023;1(1)DOI: 10.1056/AIe2300128Large language models (LLMs) have recently emerged as a powerful tool across many areas of biomedicine. They are able to rapidly summarize large amounts of text, generate high-quality text from a short description, create code that can help support data analysis, produce images on the basis of a verbal description, and much more.

Oct 4, 2023 | nature.com | Ryan S. Dhindsa |Benjamin B. Sun |Eleanor Wheeler |Erin Oerton |Andrew Harper |Dirk S. Paul | +4 more

AbstractIntegrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets1,2,3,4. Because previous proteogenomic studies have focused on common variation via genome-wide association studies, the contribution of rare variants to the plasma proteome remains largely unknown. Here we identify associations between rare protein-coding variants and 2,923 plasma protein abundances measured in 49,736 UK Biobank individuals.