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Researchers have used machine learning to identify genes related to smoking behaviors and find existing medications that may be able to be repurposed to help people quit smoking.

Scientists at University of California San Diego School of Medicine have developed an artificial intelligence (AI)-based strategy for discovering high-affinity antibody drugs.

Videos that resemble real life and engage babies could be used to help them learn to count, reports new research from Rutgers University.

A new type of analog quantum computer has been invented that can tackle physics problems that digital supercomputers can't solve.

When pondering the probability of discovering extraterrestrial life, the question that often arises is, "if they're out there, why haven't we found them yet?" Now, researchers have applied a deep learning technique to a previously studied dataset of nearby stars and uncovered eight previously unidentified signals of interest.

An infectious disease model that takes into account age-specific contact patterns whilst applying a common modeling approach has been shown to improve predictions of disease spread.

An artificial intelligence program could accelerate the production of gene therapies by enabling the customizable production of zinc finger proteins that can turn genes on and off.

Taking a step towards gene therapies for a broader range of health conditions, researchers have developed a novel technology that can engineer proteins to target any stretch of DNA in the human genome.

An AI system has been developed by researchers at the University of California, San Francisco, that can generate artificial proteins from scratch.

A mathematical model has been created explaining how bacteria communicate within a larger ecosystem. By understanding how this process works, researchers can predict what actions may elicit certain environmental responses from a bacterial community.