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    • 5. 发明授权
    • Method and system for predicting resistance of a disease to a therapeutic agent using a neural network
    • 使用神经网络预测疾病对治疗剂的抵抗力的方法和系统
    • US07058616B1
    • 2006-06-06
    • US09589167
    • 2000-06-08
    • Brendan LarderDechao Wang
    • Brendan LarderDechao Wang
    • G06N3/02C12Q1/70
    • G06F19/24G06F19/18
    • A method and system for predicting the resistance of a disease to a therapeutic agent is provided. Further provided is a method and system for designing a therapeutic treatment agent for a patient afflicted with a disease. Specifically, the methods use a trained neural network to interpret genotypic information obtained from the disease. The trained neural network is trained using a database of known or determined genotypic mutations that are correlated with phenotypic therapeutic agent resistance. The present invention also provides methods and systems for predicting the probability of a patient developing a genetic disease. A trained neural network for making such predictions is also provided.
    • 提供了一种用于预测疾病对治疗剂的抵抗力的方法和系统。 还提供了设计用于患有疾病的患者的治疗剂的方法和系统。 具体来说,该方法使用训练有素的神经网络来解释从疾病获得的基因型信息。 训练有素的神经网络使用与表型治疗剂抗性相关的已知或确定的基因型突变的数据库进行训练。 本发明还提供了用于预测患者发展遗传性疾病的可能性的方法和系统。 还提供了用于进行这种预测的经过训练的神经网络。