Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Radiomics extracts quantitative data from medical images, but its role in predicting deterioration after traumatic brain ...

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

A mass of writhing maggots on a decomposing murder victim is not a sight for the squeamish, but for some, it is evidence. A maggot’s age and species can give essential information to forensic ...

Explore the capabilities of a new AI tool that revolutionizes drug discovery by speeding up molecule formation and reducing costs.

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and ...

Researchers develop radiomics-based predictive models to assess the likelihood of progressively refractory intracranial hypertension leading to secondary DC. The multiomic model, which incorporated ...

Summary: Workplace attrition threatens operational continuity and clinical trial timelines for life science professionals. The recent shift to remote and decentralized trials presents unique ...