-
AI Cracks Genetic Circuit Design in Synthetic Biology First
Rice University researchers have created CLASSIC, a technique that lets artificial intelligence help design complex genetic circuits at unprecedented scale. The work could speed up the development of smarter cell-based therapies for cancer and other diseases.
-
AI Helps Scientists Publish More but Narrows Research Focus, Study Finds
A massive analysis of more than 41 million papers shows AI tools supercharge individual scientists’ productivity and impact, yet shrink the overall range of scientific questions being explored. Researchers say the next generation of AI must help create new data and directions, not just optimize what already exists.
-
Stanford AI Model Reads Sleep Data to Forecast Disease Risk
A new Stanford-developed AI model, SleepFM, turns a single night of lab-recorded sleep into a powerful early warning system for future disease. By learning the “language” of sleep, it can forecast risks for conditions ranging from heart disease to cancer.
-
AI-Designed Cancer Sensors May Enable Simple At-Home Urine Tests
MIT and Microsoft researchers built an AI model that designs molecular sensors to spot cancer-linked enzymes, potentially turning a simple urine test into an early warning system for dozens of cancers. The work could also guide new treatments and a broader map of how these enzymes behave in disease.
-
How University Researchers Used Artificial Intelligence to Drive Real-World Impact in 2025
Artificial intelligence stood at the center of academic research and development in 2025. Universities increasingly applied AI not as a standalone discipline, but as a foundational tool supporting advances across diverse fields, including: In this article, we highlight a select group of AI-driven research developments that reflect both expanding capabilities and an increasing emphasis on…
-
AI Heart Map Links Genes, Images and Drugs to Speed Heart Care
Scientists have created an AI-driven “map” of the heart that links medical images with genes and drugs, revealing fresh leads for treating heart disease and repurposing existing medicines.
-
AI-Guided Drug Repurposing Shows Promise Against Deadly Childhood Cancer
Using machine learning and existing medicines, scientists at Lund University have found a drug combination that slowed tumor growth and boosted survival in models of high-risk neuroblastoma, one of the deadliest childhood cancers. The work could pave the way for faster, more affordable treatments.
-
New ‘AI Advisor’ Lets Humans Share Control of Self-Driving Labs
A new AI advisor model from the University of Chicago and Argonne National Laboratory shows how humans and self-driving labs can co-pilot scientific discovery, speeding up materials breakthroughs while deepening understanding.
-
AI Plus Blood Biomarker Boosts Pneumonia Diagnosis Accuracy
UCSF scientists paired a gene-based biomarker with generative AI to spot dangerous lung infections in ICU patients with striking accuracy. The approach could speed diagnosis and sharply reduce unnecessary antibiotics.
-
TU Wien Team Pairs ChatGPT-Style AI With Logic to Set Records
By teaming up two very different kinds of artificial intelligence, TU Wien researchers have solved tough logic problems faster than ever before. Their work shows how ChatGPT-style models can guide traditional algorithms, opening new possibilities for science and everyday decision-making.
