Brain cancer digital twin predicts treatment outcomes by mapping tumor metabolism

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
EurekAlert!

Yonsei University researchers develop deep learning model for microsatellite instability-high tumor prediction

One in every three people is expected to have cancer in their lifetime, making it a major health concern for mankind. A crucial indicator of the outcome of cancer is its tumor microsatellite ...
The Stanford Daily

Research Roundup: Brain degeneration, machine learning for identifying diseases and AI-generated genetic code

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
News Medical on MSN

Brain cancer digital twin predicts treatment outcomes

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the University of Michigan, could help doctors discover which treatment strategies ...