A team at the University of Tokyo has developed a new Bayesian neural network called VBayesMM, which can detect real biological relationships rather than random correlations.

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...

Dr Nick Ballou, Postdoctoral researcher, Oxford Internet Institute, University of Oxford, said: ...

A finance app with superfans? YNAB's Fan Fests turned spending money into a celebration ofprogress, purpose, and belonging. LEHI, Utah, Nov. 12, 2025 /PRNewswire/ -- Ever worried about money? You're ...

The ability to respond to changing surroundings was once considered exclusive to complex living organisms. Then came ...

Student founders show off their ventures at the 2025 Skandalaris Launchpad Expo at Washington University in St. Louis. Photo ...

Biological communities are rarely stable. Their composition is constantly changing, depending on the environmental conditions ...

Making causal inferences about illness, compared to making causal inferences about mechanical breakdown and reading causally unconnected sentences, activates a semantic brain network implicated in the ...

The identification of 20 causal plasma proteins for prostate cancer represents a critical step toward addressing the need for improved diagnostic specificity and reveals promising new targets for ...

Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.

A new U.S. survey conducted by The Harris Poll on behalf of ImmunityBio, Inc. reveals that many people living with non-muscle invasive bladder cancer (NMIBC) feel left out of critical treatment ...