Proscia, a leading provider of artificial intelligence (AI) enabled digital pathology solutions, and the University of California, San Francisco (UCSF) have partnered to introduce artificial intelligence into the practice of pathology. Beginning with prostate cancer, the second leading cause of cancer deaths among men in the U.S., the collaboration will validate the clinical efficacy of computational pathology applications for several high-impact pathology subspecialties.
The standard of care for diagnosing cancer relies on the pathologist’s assessment of tissue biopsies viewed under a microscope. This 150-year-old manual and subjective practice cannot keep pace with the rising cancer burden amid a decreasing pathologist workforce. Prostate cancer diagnosis is especially problematic given its high slide-per-case volume, complex reporting requirements, and qualitative grading system, often leading to delayed turnaround times, increased use of ancillary tests, and reduced confidence in treatment decisions.
Proscia and UCSF are collaborating on the validation of computational pathology applications that drive much-needed quality and efficiency gains for clinical laboratories using digital pathology. As one of the earliest adopters of digital pathology for primary diagnosis, UCSF has amassed volumes of diverse, high-quality digitized data. This data is initially being used to ensure that Proscia’s computational pathology application for prostate cancer accurately accounts for the variability that exists across a wide range of diagnoses, methods of biopsy and tissue preparation, tissue staining procedures, and digital scanning processes.
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