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Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable Artificial Intelligence
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作者 Debaditya Chakraborty elizabeth gutierrez-chakraborty +3 位作者 Cristian Rodriguez-Aguayo Hakan Başağaoğlu Gabriel Lopez-Berestein Paola Amero 《Cancer Communications》 SCIE 2024年第5期584-588,共5页
High-Grade Serous Ovarian Cancer(HGSC)is the most prevalent and lethal form of gynecologic malignancies[1],accounting for 70%-80%of ovarian cancer fatalities.Despite decades of research,the overall survival rate for H... High-Grade Serous Ovarian Cancer(HGSC)is the most prevalent and lethal form of gynecologic malignancies[1],accounting for 70%-80%of ovarian cancer fatalities.Despite decades of research,the overall survival rate for HGSC has remained largely unchanged[2],and patients with advanced stages of the disease have only a 41%chance of surviving beyond five years[3]. 展开更多
关键词 cancer Cancer targeted
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