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.
8don 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 ...
Techno-Science.net on MSN
🦠 Detecting colorectal cancer with AI and our own gut bacteria
Colorectal cancer is the second leading cause of cancer death worldwide. When detected early, it can be effectively treated.
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 ...
Using biochemical markers such as estimated glomerular filtration rate (eGFR) and proteinuria improved precision, reaching ...
MK-3000, a tri-specific antibody, is being tested in the BRUNELLO trial for diabetic macular edema, following positive ...
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.
The Buffalo Bills and Baltimore Ravens will meet for the third time in less than a calendar year in Week 1 of Sunday Night Football. Baltimore dominated in a Week 4 victory last year but the Bills got ...
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