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欢迎收听科研喵播客，使用AI读文献，祝你效率百倍，访问labcat.com.cn下载。今天的焦点是癌症治疗领域的一项革命性进展。研究发现，HRProfiler，一个基于机器学习的新工具，能够通过全外显子测序数据，准确检测癌症中的同源重组缺陷（HRD）。HRD是乳腺癌和卵巢癌等癌症的重要生物标志物，能预测患者对铂类化疗和PARP抑制剂的反应。HRProfiler不仅提高了检测的准确性，还降低了成本，使更多患者能够接受基因组引导的精准治疗。这项研究发表在《Cancer Research》杂志上，标志着我们向更个性化的癌症治疗迈出了一大步。
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