Computational models predict neural activity for re-establishing connectivity after stroke or injury

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
Open Heart

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Chemistry World

Google’s AlphaGenome deep learning model wants to do for DNA what AlphaFold did for proteins

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Why Leaders Must Prepare For A Shift From "Bigger Models” To “Smarter Systems”

New performance gains will not come from bigger models, but from better approaches. That shift should matter to every ...

90% Of Faculty Say AI Is Weakening Student Learning: How Higher Ed Can Reverse It

New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...

Moonshot’s Kimi K2.5 is 'open,' 595GB, and built for agent swarms — Reddit wants a smaller one

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...