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What are the main challenges in using machine learning for target identification in drug discovery | #drug discovery

What are the main challenges in using machine learning for target identification in drug discovery

What are the main challenges in using machine learning for target identification in drug discovery

Explore the key challenges of using machine learning for target identification in drug discovery, including data quality, bias, model interpretability, validation issues, ethical concerns, and high computational demands.

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Catalyzing scientific progress at the confluence of Genomics, AI, and Precision Engineering

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