Although the whole edifice of medicine rests on the pathologists diagnosis, the field has not experienced any significant change for the last 150 years; said Thomas Fuchs, Director of Computational Pathology Lab at Memorial Sloan Kettering Cancer Center and Founder of Paige.AI, which is building machine learning algorithms to help digitize pathology, at the NVIDIA GPU Tech Conference in March in San Jose. That basically means that in spite of the rapid development of medical technology, such as blood-drawing robots, exoskeletons, augmented reality, synthetic organ tissues, the core of the diagnostic process is still resting on pathologists looking at tissues with a microscope in a lab. Approximately 90 percent of the work is yet done on various stains with methodologies that doctors came up more than a hundred years ago.Moreover, the entire process of analyzing the stains is highly subjective and could signify a cumbersome process. For example, in the case of a prostate biopsy, pathologists have to scrutinize around 48 slides. Also, the results depend on the specialty, the personal judgment and more often than not even on the mental state of the pathologist lowering the levels of accuracy.

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