Digital twin approaches for interpretable side effect prediction in drug discovery
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Artificial intelligence increasingly supports preclinical drug development although accurate, early prediction of side effects remains limited. Leading approaches rely on expert-derived features, unavailable in early discovery, or on chemical similarity-based ... ...
