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A histopathologic diagnosis of prostate cancer is the discernment of whether there is a cancer in the prostate, as well as specifying any subdiagnosis of prostate cancer if possible. The histopathologic subdiagnosis of prostate cancer has implications for the possibility and methodology of any subsequent Gleason scoring . [ 1 ]
The Gleason grading system is used to help evaluate the prognosis of men with prostate cancer using samples from a prostate biopsy. Together with other parameters, it is incorporated into a strategy of prostate cancer staging which predicts prognosis and helps guide therapy. A Gleason score is given to prostate cancer based upon its microscopic ...
Color Health, Inc. (founded as Color Genomics) makes population-scale cancer detection and care accessible, convenient, and cost-effective for employers, health plans, and unions. With nearly a decade of experience, Color has served millions of patients and partnered with innovators such as the National Institutes of Health , the CDC , large ...
There are several reasons why PIN is the most likely prostate cancer precursor. [3] PIN is more common in men with prostate cancer. High grade PIN can be found in 85 to 100% of radical prostatectomy specimens, [4] nearby or even in connection with prostate cancer. It tends to occur in the peripheral zone of the prostate.
Pan-cancer studies aim to detect the genes whose mutation is conducive to oncogenesis, as well as recurrent genomic events or aberrations between different tumors.For these studies, it is necessary to standardize the data between multiple platforms, establishing criteria between different researchers to work on the data and present the results.
AI has been explored for use in cancer diagnosis, risk stratification, molecular characterization of tumors, and cancer drug discovery. A particular challenge in oncologic care that AI is being developed to address is the ability to accurately predict which treatment protocols will be best suited for each patient based on their individual ...
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The Cancer Genome Atlas (TCGA) is a project to catalogue the genomic alterations responsible for cancer using genome sequencing and bioinformatics. [1] [2] The overarching goal was to apply high-throughput genome analysis techniques to improve the ability to diagnose, treat, and prevent cancer through a better understanding of the genetic basis of the disease.