Computational software for cancer diagnosis and prognosis
Carcinomas are a subset of cancers that originate in epithelial tissues. They represent the majority of cancers worldwide including lung, ovarian, and esophageal cancers. These epithelial cancers are thought to become invasive and pass through an epithelial-to-mesenchymal cell transition, but the process is poorly understood creating significant hurdles for diagnosing, treating, and predicting the prognosis of a patient's cancer. This technology is computational software that can identify biomarkers characteristic of particular metastasis stages in an unbiased manner. It can be developed into a diagnostic tool to evaluate a patient's prognosis, monitor disease progression, predict drug responses, and suggest appropriate courses of treatment.
More accurate diagnosis and staging of cancerPatent Information:Patent Pending (WO/2011/130435)Tech Ventures Reference: IR 2734
Computational tool for identifying biomarkers in a range of disease states Computational tool for diagnosis and staging of cancerComputational tool for predicting cancer drug responseComputational tool for suggesting cancer treatmentResearch tool for the development of metastasis-inhibiting therapeutics
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