A computational biology company that started in space tech is looking to change how biopharma finds disease targets by modeling how proteins behave.

NAMkind™ models have now been tested against a wide set of marketed ADC molecules, showing close correlation with clinical results in terms of the toxic impact in the liver and side effect profile in ...

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...

As wildfire seasons intensify and air pollution continues to threaten public health, geographers are turning to new generations of artificial intelligence models to understand how environmental ...

OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Background: Cardiovascular disease (CVD) is a global health concern. Traditional models often miss nonlinear dependencies among physiological and behavioral factors. Transformer-based deep learning ...

As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.