AI-driven drug-target interaction prediction moves toward real-world workflows
A new AI-based approach to predicting drug–target interactions is being adapted for use in real-world pharmaceutical and clinical workflows. The system is intended to help researchers and clinicians rapidly identify promising therapeutic candidates and optimize treatment strategies by integrating large-scale biological and clinical data.
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