Researchers developed DDINet, a deep learning model that predicts drug–drug interactions and their biological effects. The system performed well with unseen drugs and may improve safety in ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary ...

Bureaucracy and not enough midwives are among many issues plaguing the current system, says Dr Lorin Lakasing ...

Scientists develop a blood test that detects Alzheimer’s by measuring protein structural changes rather than protein quantity.

Background Socioeconomic exposures related to anaemia in Peruvian children have been modelled assuming additive or log-additive relationships, yet such approaches overlook the fact that illness ...

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

Intel's new Core Ultra 200HX Plus processors can optimize games and apps on the fly — no patches, no developer intervention, and no permission from AMD required.

Learn how prediction markets work, compare top platforms like Kalshi and Polymarket, and understand the regulatory shifts ...

AI-focused accounting ERP provider DualEntry tested some of the most popular AI models on various accounting workflows and found that, at best, they're 77.3% accurate.