首页|University of California Reports Findings in Machine Learning (Integrated germli ne and somatic features reveal divergent immune pathways driving response to imm une checkpoint blockade)
University of California Reports Findings in Machine Learning (Integrated germli ne and somatic features reveal divergent immune pathways driving response to imm une checkpoint blockade)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in La Jolla, Cali fornia, by NewsRx journalists, research stated, “Immune Checkpoint Blockade (ICB ) has revolutionized cancer treatment, however the mechanisms determining patien t response remain poorly understood. Here, we used machine learning to predict I CB response from germline and somatic biomarkers and interpreted the learned mod el to uncover putative mechanisms driving superior outcomes.”
La JollaCaliforniaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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