Despite billions poured into research, new medicines still typically take a decade or more to develop.

For all the exciting future use cases of AI in drug discovery, many barriers present challenges that could limit those ...

Check out the second of a two-part series exploring how artificial intelligence helps researchers from around the world perform cutting-edge science with the lab’s state-of-the-art facilities and ...

The new methodology opens ways to simulate efficacy of gold nanoparticles as targeted drug delivery ... biomolecules. "Machine learning is a very helpful tool when examining the use of ...

BMS has been among the pharma giants that have bought into AI for drug discovery. In 2021, the company struck a $1.2 billion ...

Finding a reasonable hypothesis can pose a challenge when there are thousands of possibilities. This is why Dr. Joseph ...

A machine learning (ML) model incorporating both clinical and genomic ... at the San Antonio Breast Cancer Symposium (SABCS), held December 10-13, 2024. While the use of CDK4/6 inhibitors combined ...

The findings, published in Science, could help scientists use machine learning to predict antimalarial drug resistance and more effectively prioritize the most promising experimental treatments ...

Insilico Medicine (‘Insilico’), a clinical-stage generative artificial intelligence (AI)-driven drug discovery and ...

Here are four principles for identifying and building strategic alliances with AI leaders. The post How Walmart, BMW and ...

Data Scientist Yi Nian has advanced Alzheimer’s research at the University of Texas Health Science Center, highlighting machine learning’s role ...