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PATHOLOGY CASE REVIEW, ANALYSIS AND PREDICTION

机译:病理病例复习,分析和预测

摘要

Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.
机译:使用病理分析的用于个性化癌症治疗的系统和方法可滑动到单个样本中的目标区域,该样本可查询相对大量细胞的特征数据。本公开描述了未来的病理学病例审查工具,其包括分析,可视化和预测建模,以向病理学家提供用于诊断疾病的新信息。本公开进一步描述了一种用户界面,以帮助做出该诊断的医师,病理学家。复杂的计算机学习算法将结合并挖掘这些数据集,以推荐最佳治疗策略。提供了一个计算机界面,病理医生可以立即访问这些数据,以进行更明智的诊断。

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