Advances in generative artificial intelligence and machine learning, trained on large-scale datasets across multiple ...

GWAS rely on large biobanks with extensive patient data. However, these repositories could be lacking anything from blood reports, scans, and patient history to family data. Even with a thorough ...

Genome-wide association studies (GWAS) help scientists understand the inheritance patterns of disorders on a global scale. But can we make predictions from these studies? Only a few years ago ...

Scientists identified 195 genetic risk loci across 42 female reproductive health conditions, revealing shared genetic pathways and developing a polygenic risk score for intrahepatic cholestasis of ...

EPFL scientists, in collaboration with MIT and Yale, have introduced a groundbreaking method called Secure Federated ...

Researchers are using high-throughput genome-wide association studies to tackle some of today's hardest diseases such as obesity. What do gene networks tell us about this epidemic? One excellent ...

Higher coffee consumption is causally linked to delayed onset of Parkinson’s disease but does not affect disease risk or ...

Topics of instruction vary, but typically include: an introduction to statistical and genetic theory, principles of common and rare variant genome-wide association studies (GWAS); rare variant burden ...

Genome-wide association studies (GWASs) have linked genetic variants to neuropsychiatric disorders, but their regulatory roles in non-coding regions remain largely unclear. Using the LUHMES ...

Dogs are a compelling model of human obesity, in part because they develop obesity due to similar environmental influences as people. In a genome-wide ...

A recent genetic study has provided new insights into how glucagon-like peptide-1 (GLP-1) receptor agonists aid weight loss.

Developed from EPFL research, in collaboration with MIT and Yale, the combination of secure computation and distributed ...