申请人:Nantomics, LLC
公开号:US11011273B2
公开(公告)日:2021-05-18
The present inventive subject matter provides apparatus, systems, and methods in which a diagnostic test is identified, where the diagnostic test is for determining whether a particular treatment is effective for a particular patient based on one or more characteristics of a patient's cells. When a treatment is developed with the potential to treat one or more diseases, the drug can have different effects on different cell lines related to the diseases. A machine learning system is programmed to infer a measurable cell characteristic, out of many different measurable cell characteristics, that has a desirable correlation with the sensitivity data of different cell lines to a treatment. The machine learning system is programmed to then determine, based on the correlation, a threshold level of the cell characteristic the patient should exhibit in order to recommend administering the treatment.
本发明主题提供了仪器、系统和方法,其中确定了一种诊断测试,诊断测试用于根据患者细胞的一种或多种特征确定特定治疗方法是否对特定患者有效。当开发出一种可能治疗一种或多种疾病的治疗方法时,该药物可能会对与疾病相关的不同细胞系产生不同的影响。机器学习系统经过编程,可从许多不同的可测量细胞特征中推断出一种可测量细胞特征,该特征与不同细胞系对治疗方法的敏感性数据具有理想的相关性。然后,机器学习系统将根据相关性确定患者应表现出的细胞特征的阈值水平,以便建议进行治疗。