A new liquid biopsy approach developed by Johns Hopkins Kimmel Cancer Center investigators could revolutionize brain cancer detection by identifying circulating DNA fragments from tumors and immune ...
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 ...
Software Solutions (58.3%): The largest segment, including AI platforms for imaging, digital pathology, predictive analytics, ...
A novel tool for rapidly identifying the genetic "fingerprints" of cancer cells may enable future surgeons to more accurately remove brain tumors while a patient is in the operating room, new research ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
During magnetic resonance imaging (MRI) procedures, contrast agents, such as the rare metal gadolinium, can pose potential health risks. Researchers at The Hong Kong Polytechnic University (PolyU) ...
The brain imaging devices market is experiencing significant growth, fueled by the increasing incidence of neurological conditions like brain tumors, strokes, Alzheimer’s, Parkinson’s, and epilepsy, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results