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Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis
2020
Scientific Reports
Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discriminate drug binding with different mechanisms. We have developed a multiplexed and high-throughput method to quantify drug distribution in tissues by integrating high content screening (HCS) with U-Net based deep learning (DL) image analysis models.
doi:10.1038/s41598-020-71347-6
pmid:32873881
fatcat:yagj7jrsrrbizj3r7mshziq4ae