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

Scientists at the Icahn School of Medicine at Mount Sinai have developed a novel artificial intelligence tool that not only ...

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 ...

Quantitative structure–activity relationship (QSAR) modeling has long stood at the forefront of computational toxicology, enabling the prediction of ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Recall Labs, a firm that has run 20 or so AI trading arenas, pitted foundational large language models (LLMs) against customized trading agents.

A first-ever analysis of the whole Greenland shark genome gives researchers a couple of clues to their longevity. When this Greenland shark was born, Leonardo painted the Mona Lisa. The species is the ...

What is a predictive market app? A prediction market app is a legal alternative to traditional sportsbooks, functioning similarly to a stock exchange and enabling you to buy, sell, and trade event ...

Over the past decades, large-scale human genetic studies have identified numerous risk genes and variants associated with complex diseases and traits.