AI-Assisted Drug Discovery
A methodology that uses artificial intelligence techniques to assist drug research and development stages such as target identification, compound screening, and clinical trial design, with the aim of shortening development cycles and reducing costs.
Timeline (last 90 days)
A reliable AI-assisted drug discovery study should disclose the model version, training data, and prediction methods, and conduct blinded validation in independent wet-lab experiments.
AI can reduce tens of thousands of candidates to a few dozen high-potential molecules through dry-lab prioritization, thereby compressing the number of candidates that need to enter wet-lab experiments.
AI cannot replace the final adjudicating role of wet-lab experiments.
All Facts (3)
A reliable AI-assisted drug discovery study should disclose the model version, training data, and prediction methods, and conduct blinded validation in independent wet-lab experiments.
50%UnverifiedAI can reduce tens of thousands of candidates to a few dozen high-potential molecules through dry-lab prioritization, thereby compressing the number of candidates that need to enter wet-lab experiments.
50%UnverifiedAI cannot replace the final adjudicating role of wet-lab experiments.
50%