IBM and the Broad Institute will codevelop algorithms to apply artificial intelligence to predict cardiovascular risk from genomic and clinical data.
Scripps Research Translational Institute has teamed with Nvidia to create a center of excellence for AI in genomics and wearable sensors.
In Nature this week: statistical method for overcoming case-control imbalance issues, and more.
Genome-wide polygenic risk scores highlight those at risk of coronary artery disease, atrial fibrillation, type 2 diabetes, IBD, and breast cancer.
In Nature this week: CRISPR-Cas9 genome editing to generate yeast with minimal chromosomes, atrial fibrillation risk variants, and more.
With data from more than a million people, researchers found 111 new or known atrial fibrillation-related loci, providing clues to the condition's biology.
Using data from the UK Biobank, researchers explored relative contributions that genetics and lifestyle make to cardiovascular disease and diabetes risk.
In PLOS this week: resource to track Mendelian disease-related variants in dogs, microRNAs linked to atrial fibrillation in surgical patients, and more.
The prospective analysis suggests that the approach could help clinicians identify patients at risk of a stroke who could benefit from anticoagulant treatment.
With a two-stage atrial fibrillation GWAS, researchers took a crack at untangling the pathways, regulatory features, and tissue types contributing to the heart condition.
The World Health Organization has announced the members of its gene-editing committee, according to NPR.
DARPA is working on developing algorithms that gauge the credibility of research findings, Wired reports.
The American Society of Breast Surgeons recommends all women diagnosed with breast cancer be offered genetic testing, the Washington Post says.
In Science this week: comparison of modern, historical rabbit exomes uncovers parallel evolution after myxoma virus exposure; and more.