Fewer than 20 percent of cancer patients respond to immunotherapy; if clinicians knew which patients would respond to which therapies, they could make far more precise recommendations. Cofactor Genomics found 40 genes that make up each patient’s core immune profile. Using machine learning to analyze multiple RNA biomarkers in solid tumor tissue, the company can tell which patients with conditions such head and neck squamous cell carcinoma, non-small-cell lung cancer, colorectal cancer, or urothelial carcinoma have actionable mutations that will likely respond to modern immunotherapies.
News & Insights
Explore Companies
Radionetics Oncology
Discovering more precise ways to deploy radiopharmaceuticals against solid tumors
DVLP Medicines
Creating a software co-pilot for drug development and a new marketplace for investors and outsourced R&D and manufacturing
Noetik
Using self-supervised machine learning to map the circuit diagram of tumor biology and develop new immunotherapies for cancer
Solu Therapeutics
Advancing precision medicine by combining the efficacy of antibodies with the binding ability of small molecules