BOSTON -- It's not a futuristic technology anymore. Machine learning approaches are coming to mainstream data analytics and management. The changes will come about as machine learning and related ...

Dropping AI Discovery Reveals Why Bacteria Resist Treatment”, “content”: “ For decades, our approach to fighting bacterial ...

Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...

Effect of KROS 101, a small molecule GITR ligand agonist, on T effector cells, T reg cells and intratumoral CD8 T cell cytotoxicity. Phase 1 study of DK210 (EGFR), a tumor-targeted IL2 x IL10 dual ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

A machine learning model combining acoustic speech features with PHQ-9 responses improved depression screening accuracy in adolescents.

IPDsim: An interpretable model to assess individual clinical antagonism in combination therapies for cancers. Model performance across development and validation cohorts.

Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance ...