Forecasting novel therapeutic development in biomedical research
This study demonstrates that a machine learning model analyzing large-scale public biomedical literature, including citation patterns and publication content, can accurately predict future FDA-approved drug targets years in advance, often before clinical trials begin, without relying on lagging clinical trial data.