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 ...

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 ...

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

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

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 ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

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