AI tool can identify biological profiles associated with thrombosis risk

Two people may be the same age and have similar family histories or risk factors, yet only one of them may develop thrombosis.

To better understand why this occurs, researchers from the Complex Disease Genomics Unit at the Sant Pau Research Institute (IR Sant Pau) and the Biomedical Research Networking Center for Rare Diseases (CIBERER) have developed an artificial intelligence-based tool that integrates clinical, genetic and transcriptomic information to identify signals associated with the disease. ...