Hong Kong University
Machine Learning Cancer Prognostic Tool Identifies MYC Gain as Glioma Drug Resistance Marker
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The open-source CELLO2 algorithm helped identify a subset of glioma patients at high risk for developing resistance to Merck's Temodar (temozolomide).
New data has demonstrated that DNA fragment size differences that discriminate preeclampsia from healthy controls can be detected using a lower-cost PCR method.