Drug discovery and development is an extremely lengthy and expensive process; yet drug safety, a fundamental part of this process, continues to be a major unaddressed problem. The problem of ...

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 ...

Patients and advocacy groups are actively seeking greater involvement in the development of therapies ... patients throughout the entire drug development process. We are now moving to treating ...

However, as groundbreaking as these therapies are, they also pose unique challenges for the drug development process, particularly regarding quality assurance (QA). The role of QA is more critical ...

Wen Shuhao helped speed up the development of Pfizer’s Covid oral drug, Paxlovid. Now the chairman of Xtalpi wants to help ...

As part of the funding, Latent Labs aims to leverage generative artificial intelligence to computationally create novel ...

His creative use of SAS has improved the process of identifying trends and patterns in clinical data, speeding up drug development. Srinivasa Reddy Mukkala has aided in creating a new benchmark ...

Nature Medicine has been chronicling advances in medical technology and health care. To mark the journal’s 30th anniversary, each month ...

Traditionally, drug development has been a lengthy, costly, and uncertain process. However, AI offers innovative solutions to accelerate drug discovery, resulting in faster identification of ...

Schrodinger (SDGR) and Recursion Pharmaceuticals (RXRX), which both specialize in using AI to hasten drug discovery, are jumping 17% and 11%, respectively. iCAD (ICAD), whose products harness AI ...