Recursion Pharmaceuticals leverages AI and machine learning to revolutionize drug discovery, reducing costs and accelerating development, positioning itself as a leader in tech-driven biopharma. The ...

A high drug failure rate is more than just a pattern recognition problem. Thom Leach/Science Photo Library via Getty Images The potential of using artificial intelligence in drug discovery and ...

The "The Drug Development Process: An Intensive 2 Day Training Online" training has been added to ResearchAndMarkets.com's offering. This comprehensive course provides an in-depth exploration of the ...

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

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 ...

Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

Duxin Sun receives funding from the NIH, FDA, and pharmaceutical industries including Bristol-Myers Squibb, Celgene Corporation, Aurinia Pharmaceuticals, Abbvie, Nanomedicine Innovation Center.

In my previous article, I discussed how AI is rapidly transforming the drug discovery process, significantly accelerating timelines and reducing costs. However, while AI's potential in this domain is ...

Artificial intelligence continues stirring things up in chemistry. To wit: Y Combinator-backed Cambridge, U.K.-based ReactWise is using AI to speed up chemical manufacturing — a key step in bringing ...

Explore how patient experience data shapes regulatory drug decisions, enhancing the patient-focused drug development initiative for better treatment outcomes. Patient experience data are critical to ...