Mount Sinai scientists developed V2P, a powerful new AI tool that predicts how specific DNA mutations translate into disease, ...

Explore the new AI model that links genetic mutations to disease outcomes, revolutionising genetic diagnosis and treatment.

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a novel artificial intelligence tool that not only identifies disease-causing genetic mutations but also predicts the type of ...

A noninvasive AI tool may be able to predict potential cardiovascular events in patients with suspected stable coronary ...

Nanomedicine and advanced drug delivery platforms are reshaping modern therapeutics by enabling targeted, controlled, and tissue-specific delivery of small ...

Translational modelling has emerged as a critical approach in environmental health and pharmacology, offering new pathways to predict human health risks ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Introduction Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with ...