A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

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

Overview: Machine learning helps businesses target the right customers, boosting sales and cutting wasted ad spend.It enables real-time campaign optimization, p ...

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

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

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...