Recognition of early and late stages of bladder cancer using metabolites and machine learning

ConclusionBy examining the biomarkers present in the urine samples of BCa patients as compared with normal patients, the biomarkers associated with this cancer can be pinpointed and lead to the elucidation of affected metabolic pathways that are specific to different stages of cancer. Development of machine-learning model including metabolites and their chemical descriptors made it possible to achieve considerable accuracy of prediction of stages of BCa.
Source: Metabolomics - Category: Biology Source Type: research