Drug-target interaction prediction can help researchers explain mechanisms of action, identify candidate targets, reposition existing medicines and prioritize compounds before costly laboratory work.

The companies that learn to combine predictive and generative AI—rather than treating them as one technology—will outperform those still chasing full automation. Over the past two years, I’ve had ...

A machine learning tool helped to identify patients at risk for severe AKI, but early nephrology consultations did not ...

A new review maps the fast-moving landscape of artificial intelligence (AI)-driven drug-target interaction (DTI) prediction, showing how the field has progressed from hand-crafted molecular features ...

Rain prediction is mostly guesswork where no radar exists. Rainbow's AI reads rain from satellites every 10 minutes and beat ...

South Asians are underrepresented in global health databases, impacting disease understanding and treatment effectiveness; ...

The work provides a validated metric and benchmark for comparing smells, laying a foundation for technologies such as digital olfaction, the ability to digitize scents, said study co-author Joel ...

This article lists the top 10 Windows installation pitfalls for AI agents and how to fix them. If you face issues with AI ...

Madden NFL 27 99 Club is confirmed: six players earned perfect 99 overall ratings ahead of the August 13 launch, including Matthew Stafford's first career 99 after 17 NFL seasons and Trey McBride's ...

For electric utilities, wildfire preparation is increasingly becoming a layered exercise: strengthen the physical grid, clear ...

Every Thursday, WTTW News newsletter producer Josh Terry highlights his picks for the week’s must-see cultural events.

At VB Transform 2026, Kel Vanee, MVP of machine learning engineering at Capital One, spoke with Sam Witteveen, Senior Technology Contributor at VentureBeat, about how the bank built a scalable ...