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

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

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  • 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


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