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    Evaluating treatment strategies and machine learning based treatment recommendation system for elderly patients with high grade gliomas by Feiling Xiang, Feiling Xiang, Mengyuan Fu, Mengyuan Fu, Xuelian Yang, Xuelian Yang

    Published 2025-08-01
    “…This study aims to evaluate the benefit of treatment strategies and develop a treatment recommendation system for eHGG patients.MethodsBy propensity score matching and survival analysis, we compared the prognosis of treatment strategies, including surgery versus none, adjuvant therapies versus none, and gross total resection (GTR) versus subtotal resection (STR), among patients aged 65 and older with high-grade gliomas. A machine learning model, random survival forest, was developed to provide predictions on prognosis. …”
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    A Bayesian active learning platform for scalable combination drug screens by Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

    Published 2025-01-01
    “…In a prospective combination screen of a library of 206 drugs on a collection of pediatric cancer cell lines, the BATCHIE model accurately predicts unseen combinations and detects synergies after exploring only 4% of the 1.4M possible experiments. …”
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