SDSC and Moores Cancer Center Collaboratively Work with CureMatch to Develop Machine Learning Model for the Diagnosis of Bladder Cancer

Shots:

• The machine learning model utilizes MLP (multi-layer perceptron) software, providing a non-invasive diagnostic option, analyzes a patient’s metabolites and their chemical descriptors, generating AI models to detect and identify the stage of cancer
• The focus of the research is to minimize the number of cancer cases & to create an ease for patients to know about the life-threatening bladder cancer by examining their urine and further the ML system produces a red flag analysis on detection of cancer
• The model uses multiple computational tools to examine the pathways associated with different bladder cancer stages, useful in diagnostics and the monitoring of disease progression

Click here to read full press release/ article | Ref: SDSC | Image: Verdict Medical Devices