Fast and repeated assessments of tumor sensitivity to available drugs can improve clinical outcomes by staying ahead of a cancer's ability to resist certain therapies
FAU researchers have developed a technique using machine learning—a sub-field of artificial intelligence—that will enhance computer-aided diagnosis of melanoma
Researchers at the University of Missouri have devised a new tool to detect and analyze single melanoma cells that are more representative of the skin cancers developed by most patients
The man-made, small-molecule drug compound goes after a gene’s ability to produce RNA molecules and certain proteins in melanoma tumors
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