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 ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...
Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...
Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...
The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...
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 ...
StudyFinds on MSN
AI disease prediction may catch illnesses before symptoms even start
In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...
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