An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process

Researchers conducted the first empirical study analyzing how natural scientists reuse pre-trained deep learning models across 17,511 peer-reviewed papers from 2000-2025. The study found that biochemistry and molecular biology lead in model reuse, with adaptation being the most common reuse pattern, primarily impacting the testing phase of scientific research.