Investigation confirms an AI infrastructure biological contamination incident, tracing a rare, deadly pathogen to Meta's data ...

Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

Anthropic also went a step further, saying it would develop drugs of its own. Head of life sciences Eric Kauderer-Abrams said ...

Process analytical technology enables data-driven scale-up by embedding real-time analytics from development through ...

A new laser technique decodes molecular vibrations to predict whether a drug will be effective, potentially cutting years ...

Researchers at the Purdue Institute for Cancer Research (PICR) have developed a next-generation technology platform designed to accelerate one of the slowest and most challenging stages of cancer drug ...

Design of targeted protein degraders is more than target degradation. Linker architecture, molecular flexibility, solubility, permeability, synthesis, purification, and formulation can all influence ...

Cholesterol-related heart disease remains the leading cause of death worldwide, and while doctors have more tools than ever ...

Biopharmaceutical developers should introduce risk-based, phase-appropriate characterization strategies for quality control ...

The drug discovery services market is projected to advance from US$ 21.5 billion in 2026 to US$ 67.3 billion by 2035, compounding at a CAGR of 13.5 per cent over the forecast period. The market had ...

Xaira is an integrated biotechnology company built to deliver on the promise of AI to help transform the drug discovery and development process Dr. Ian McCaffery joins from AbbVie, where he served as ...

Researchers at UMass Amherst have combined high-throughput laboratory screening with an AI neural network to identify ...