AI Summary

Researchers at The University of Texas MD Anderson Cancer Center reported that a combination therapy overcame treatment resistance and produced durable responses in preclinical models of advanced breast cancer. The approach targeted pathways identified by TargetScore, a new computational biology algorithm created at MD Anderson. The findings, published in Cancer Research, were co‑led by associate professor Anil Korkut, Ph.D., of bioinformatics and computational biology. The study suggests the algorithm could help design novel therapeutic strategies and advance precision oncology.

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