The content of biomedical papers predicts future clinical trials: a proof-of-concept framework tested on CAR-T cell therapy

This paper shows that it is possible to predict which newly published biomedical research papers will be connected to subsequent clinical trials. We use CAR-T cell therapy as a proof-of-concept setting because its development can be followed from published research through clinical testing, regulatory approval, and commercialization. We reconstructed connections between research papers and clinical trials and trained machine-learning models to predict which papers were associated with research that progressed to clinical testing. Using 65 paper-inherent indicators, including scientific topic,

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