Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
Deep transfer learning methodologies reveal hidden heterogeneity in β-cells driven by type 2 diabetes and obesity.
7don MSN
Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication
Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will ...
AI in drug discovery Artificial intelligence is rapidly transforming the way new drugs and therapeutic targets are discovered in cancer immunology.
In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
The Silent Killer in MASLD? It's Not Diabetes, Says New StudyA new study published in Clinical Gastroenterology and ...
Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...
Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching ...
Khabargaon on MSN
How AI-based eye scans can detect high blood sugar, heart disease
Discover how AI-based eye scans are transforming healthcare by detecting high blood sugar and heart disease through non-invasive retinal imaging, promising earlier diagnosis and improved patient ...
Mass General Brigham researchers found that continuous glucose monitoring metrics were reflective of a common measure of glucose (hemoglobin A1c) in patients with diabetes, but fell short for people w ...
Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.
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