Enhancing Clinical Trials with Data Augmentation

Data augmentation is a technique in clinical trials that involves generating new data from existing data to increase dataset size, improve model accuracy, and reduce biased results. Data augmentation techniques are becoming increasingly sophisticated and include rotating, flipping, zooming, cropping, and adding noise. Data augmentation has several benefits, including improved accuracy, reduced bias, increased sample size, and enhanced generalizability of models.

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