AI-driven predictive analytics is reshaping how firms evaluate deals, manage risk, and plan portfolio strategies.

The partnership integrates high-resolution multi-omics data generation with predictive multimodal machine learning to support biopharma decision-making in neurology.SALT LAKE CITY, Feb. 24, ...

Patient-reported outcome measures and clinical scales were ineffective in predicting responses to full-agonist opioids for chronic pain.

Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...

Why is a horse’s veterinary history so key to understanding the risk of fatal injury on the racetrack? Epidemiologist Dr. Tim Parkin offered a fascinating look at one answer to that question during ...

After receiving a US science diplomacy prize, Chemistry World talks to Martyn Poliakoff and Richard Catlow about global ...

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

The world's most critical challenges are accelerating at a rapid pace. The R&D methods tasked with solving them are not—until ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

How TikTok Shop fuels Amazon commerce growth for brands, according to Omnicom’s Flywheel TikTok Shop Unlocked research study.

A new blood test could predict when Alzheimer’s will strike — years before symptoms begin. Scientists at Washington University School of Medicine in St. Louis have created a way to estimate when a ...