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 factors contributing to driving under the influence, according to a new analysis ...

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

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

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 ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

AI in life sciences presents key opportunities in drug discovery, personalized medicine, and diagnostics by leveraging vast datasets for precise, cost-effective solutions. Growth is driven by ...

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

Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers ...

The AI in precision medicine market shows strong growth prospects driven by the need for personalized therapies amid rising chronic diseases. Key opportunities include advancements in AI for ...