There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

AI in genomics offers transformative opportunities by enhancing drug discovery and personalized medicine through efficient genomic data analysis. Drivers include the surge in genomic data, the focus ...

Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial.

AI in life sciences presents key opportunities in drug discovery, personalized medicine, and diagnostics by leveraging vast ...

Researchers engineered the first RNA-based NAND gate in living cells using deep learning and Bayesian optimization, testing ...