AI is reshaping early drug discovery, but persistent translational gaps, biological complexity, and validation challenges limit how far machine learning alone can predict human outcomes.
Artificial intelligence is helping researchers fill in critical gaps in medical treatment by identifying new drug targets for more precision medicine solutions.
Advances in data integration enable scientists to combine multiomics data and a patient’s clinical record to develop precision medicine approaches for treating disease.