Dr. Khan Iftekharuddin received a $2.3 million National Institutes of Health grant to develop AI that detects glioblastoma earlier and tracks recurrence.
Liquid biopsies, which test body fluids that contain cancerous material, including circulating tumor DNA (ctDNA), are a noninvasive way to learn about a cancer's biology. However, technological ...
Neural networks trained with a camouflage detection step show enhanced accuracy and sensitivity in identifying brain tumors from MRI scans, mimicking expert radiologists. Study: Deep learning and ...
An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...
A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence models to distinguish brain tumors from healthy tissue. AI ...
A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence models to distinguish brain tumors from healthy tissue. AI ...
Share on Pinterest A new AI tool may help predict disease risk using brain MRI datasets. Image credit: Tunvarat Pruksachat/Getty Images The wellness of the brain plays an important role in living a ...
Cancer is the rapid proliferation of malignant cells that permeate tissue and cause dysregulation of the body’s daily functions. Many cancers can be characterized by the mutation cells have and how ...
Using this technique, investigators successfully detected brain cancer about three-quarters of the time in a cohort of 505 patients from the United States and South Korea. The team verified the ...
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