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    • 3. 发明申请
    • PREDICTION OF AN AGENT'S OR AGENTS' ACTIVITY ACROSS DIFFERENT CELLS AND TISSUE TYPES
    • 预测代理商或代理商在不同细胞和组织类型中的活动
    • WO2008027912A3
    • 2008-10-09
    • PCT/US2007077022
    • 2007-08-28
    • THEODORESCU DANLEE JAE KYUN
    • THEODORESCU DANLEE JAE KYUN
    • A61K31/00G01N33/48G06F7/60G06F17/10G06F19/18G06F19/20
    • G06F19/18G06F19/20
    • The present invention relates to a novel algorithm that uses molecular profile signatures to extrapolate the physiological processes of one type of cell set (e.g., cell line, tissue, normal or diseased) to predict the activity of an agent or agents against another type of cell set that has never been exposed to the agent in question (drug efficacy prediction). The novel algorithm also allows one to predict the therapeutic response of a patient to a therapeutic regimen even though the patient (or patients) may have never been exposed to that agent before, thereby allowing for selecting a therapeutic agent or combination of agents that would best suit the patient (i.e., personalized medicine). The present invention also relates to methods of using the agents identified by the novel algorithm to treat a variety of diseases, including cancer.
    • 本发明涉及一种新的算法,其使用分子谱特征来推断一种类型的细胞集合(例如,细胞系,组织,正常或患病)的生理过程以预测一种或多种试剂针对另​​一种类型的细胞的活性 从未接触过相关药物的药物(药物疗效预测)。 新的算法还允许人们预测患者对治疗方案的治疗反应,即使患者(或多个患者)以前从未接触过该药剂,从而允许选择最好的治疗剂或药剂组合 适合患者(即个性化医疗)。 本发明还涉及使用由新算法鉴定的药剂来治疗多种疾病,包括癌症的方法。