Machine learning tool predicts cancer treatment response based on genetic mutations

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors tailor treatments more effectively.

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