An artificial intelligence (AI) model trained on complex data from human cells could provide a shortcut in the race to develop new drugs 1. The approach, published on 23 October in Science, builds on ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically sound. Subscribe to our newsletter for the latest ...

Proteins play a key role not only in the body, but also in medicine: they either serve as active ingredients, such as enzymes or antibodies, or they are target structures for drugs. The first step in ...

An international team involving the Institute of Chemical Research, a joint center of the University of Seville and the ...

As the Center for Medicare and Medicaid Innovation moves forward with additional drug-focused models, our Part D Senior ...

Taxanes such as paclitaxel are among the standard chemotherapies for triple-negative breast cancer, one of the most aggressive forms of this tumor type. However, numerous processes can contribute to ...

An international team involving the Institute of Chemical Research, a joint centre of the University of Seville and the ...

The Food and Drug Administration (FDA) has issued new draft guidance signaling a policy shift toward reducing the need for comparative efficacy ...

Discover how AI and agentic workflows help chemists accelerate drug design, generate hypotheses, and analyze data in real ...