A team of biochemists at the University of California, Santa Cruz, has developed a faster way to identify molecules in the ...

Researchers from The Ohio State University and the Indian Institute of Technology Madras have developed an artificial intelligence framework to rapidly generate drug-like molecules that are easier to ...

AI has fundamentally altered the feasibility of natural product discovery from fungal endophytes. Advances in genome sequencing, metabolomics, and systems biology have generated vast datasets, but ...

Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...

Find out how NAMs are influencing safety assessments and decision-making in the pharmaceutical industry ahead of 2026.

Outsourcing is driving biopharma efficiency and scale, including in the drug discovery area and early phase development.

There’s no doubt that large language models and generative AI tools have taken the world by storm. Their ability to create, ...

The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...

Drug development and production rely on stringent quality controls, reproducibility, and verification. Biopharmaceuticals, including protein-based therapies, require extensive characterization, ...

Changes in the political climate of the United States are spilling into scientific research. While many past administrations, of both parties, supported and funded science funding and education, the ...

Oxana Iliach is a Senior Director of Regulatory Strategy at Certara (PA, USA), a biotech company that offers comprehensive solutions for transforming and accelerating drug development. In her spare ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...