This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Two-dimensional Group-III nitrides (h-BN, h-AlN, h-GaN, and h-InN) exhibit great promise for electronic and optoelectronic applications due to their hexagonal structures, thermal stability, and wide ...
Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
Monitoring a constant stream of data doesn’t help people make health-related decisions and can lead to confusion and needless ...
Morning Overview on MSN
Many AI disease-risk models trained on flawed health data
Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...
Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...
Humacyte, Inc. (Nasdaq: HUMA), a commercial-stage biotechnology platform company developing universally implantable, bioengineered human tissues at commercial scale, today announced that it will host ...
The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...
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