A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
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 ...
A new AI model designs peptides (short proteins) that are targeted by enzymes called proteases, which are overactive in cancer cells. Nanoparticles coated with these peptides can act as sensors that ...
Real-world data shows a clear association between increased tumor size and mortality in brain cancer patients. Early diagnosis using Dxcover's PANAROMIC liquid biopsy platform can reduce mortality ...
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 ...
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