Weill Cornell Medicine researchers are using machine learning, a form of artificial intelligence, to shed light on genetic mutations associated with spina bifida.

Researchers have employed virtual reality to decode the algorithm that animals use when deciding where to go among many options.

Researchers have observed that cells that complete a phenotypic change, called epithelial to mesenchymal transition, can significantly increase the likelihood that a cancerous tumor will metastasize.

A new study has found collegiate football athletes with a decade or more of experience with the sport have related abnormalities in inflammation, energy production and coordination that are apparent before the football season and across the season.

Researchers describe a link between dwindling sea ice and worsening wildfires in the western United States.

A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.

A new study has found how a small difference in the RNA sequence can allow HIV viral RNA to be packaged for replication, creating potential targets for future HIV treatments.

In a study published in Nature, researchers demonstrate a virtual way of sifting through “molecular puzzle pieces” to build drug compounds that can associate with target sites on proteins.

An international team of researchers has explored how focusing either on the short- or long-term warming effects of methane can affect climate mitigation policies and dietary transitions in agriculture.

AI models that evaluate medical images could speed up and improve the accuracy of cancer diagnoses, but they may be vulnerable to cyberattacks. In a study, researchers simulated an attack that falsified mammogram images, fooling both an AI breast cancer diagnosis model and human breast imaging experts.