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Description
developed a U-Net-based machine learning algorithm for automated identification and quantification of fluorescently labeled neutrophils in zebrafish, achieving an error rate of 8.65% and reducing processing time from hours to minutes (Thapa and Stachura, 2021)
PMID: 26865268
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Minoxidil has far stronger human RCT evidence for hair growth
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The time element would investigate the impact of exposure frequency (daily vs
