IDENTIFYING CANCER THERAPIES
Dossier Overview
Inventor
Rob Kimmerling; Selim Olcum; Clifford Reid; Mark Stevens
IPC Classification
CPC Classification
In silico tools are used to determine possibly effective therapies for treating a patient's cancer based on patient, drug, and cancer information. Functional assays can be performed on living cancer cells from the patient to evaluate the possibly effective therapies along with subsequent genomic or other more destructive assays to provide additional information from a single sample. Drug, patient, cancer, and outcome information can be recorded and updated iteratively and analyzed using machine learning to identify correlations between various patient, cancer, and drug characteristics and expected outcomes and drug efficacies.
Original (Chinese)
In silico tools are used to determine possibly effective therapies for treating a patient's cancer based on patient, drug, and cancer information. Functional assays can be performed on living cancer cells from the patient to evaluate the possibly effective therapies along with subsequent genomic or other more destructive assays to provide additional information from a single sample. Drug, patient, cancer, and outcome information can be recorded and updated iteratively and analyzed using machine learning to identify correlations between various patient, cancer, and drug characteristics and expected outcomes and drug efficacies.
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