University of Cambridge, University of Edinburgh, Imperial College London and University of Oxford Applications are invited for up to 10 funded 4-year PhD studentships starting in October 2026, as

Using individual-level data from the Swedish Prescribed Drug Register and fecal metagenomes of 14,979 individuals in Sweden, the authors examined the association between oral antibiotic use over 8 yea...

Four interventions used to prevent donation-related vasovagal reactions showed no clear benefits compared with standard practices in England, suggesting potential policy implications for blood service...

Good science does not thrive in isolation and these mutually beneficial relationships are key to our standing as the nation’s premier cardiovascular and diabetes research institute.

YouTube video by Cambridge Development & Alumni Relations

Background Technological advances have continued to drive the study of biology towards the statistical and computational sciences. We are now able to differentiate and quantify biomolecules at levels ...

Background: Current cardiovascular disease (CVD) risk prediction models place many individuals in an intermediate risk category where clinical decision-making remains uncertain, highlighting a…

Background: Current cardiovascular disease (CVD) risk prediction models place many individuals in an intermediate risk category where clinical decision-making remains uncertain, highlighting a critica...

The Baker Heart and Diabetes Institute is an independent, internationally renowned medical research facility. We have a long and distinguished history, spanning more than 97 years with our work critic...

Health Data Science Insights - Cambridge · Episode

The concept of personalised health is at the centre of a renewed NHS and its 10 Year Health Plan. PHG Trustee, says Prof Mike Inouye as we put 'Making personalised health work for population health' i...

Polygenic scores aim to capture genetic risk but may miss nonlinear genetic and environmental interactions. Here, the authors show that neural networks detect limited nonlinearity and do not outperfor...

Polygenic scores aim to capture genetic risk but may miss nonlinear genetic and environmental interactions. Here, the authors show that neural networks detect limited nonlinearity and do not outperfor...

Polygenic scores (PGSs) have transformed human genetic research and have numerous potential clinical applications. Here we present a series of recent enhancements to the PGS Catalog and highlight the ...

The Polygenic Score (PGS) Catalog is an open database of published PGS and the relevant metadata needed to apply and evaluate them correctly.

Here, the authors leveraged genetic and proteomic information from the UK Biobank and two randomized controlled trials to characterize how polygenic disease risk for T2D and related comorbidities pert...

Research Assistant/Research Associate* in Cardiovascular Epidemiology (BHF Scholarship) (Fixed Term) in the Department of Public Health and Primary Care, Cardiovascular Epidemiology Unit at the…

The application of polygenic risk scores (PRSs) in clinical practice has advanced but also received criticism. In this Perspective, major psychological and behavioural arguments against PRS applicatio...