Until now, diagnosing early-stage liver fibrosis and cirrhosis required invasive intervention (puncture) or expensive hardware examinations, which often had a margin of error. Trained on thousands of samples, the neural network detects microscopic patterns of cell destruction long before clinical symptoms appear. This is a turning point for preventive medicine: shifting heavy mathematical analysis from labs to the cloud radically reduces the cost of diagnostics and potentially saves millions of lives.
Source: ScienceDaily
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