Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...
A new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...
When it comes to ensuring the safety of medical and pharmaceutical products, chemical characterization plays a key role, particularly through the analysis of extractables and leachables (E&L). A ...
Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.
What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...