Biomedical engineers at Duke University have demonstrated a new method to significantly improve the effectiveness of machine learning models searching for new molecular therapeutics when using just a fraction of the available data. By working with an algorithm that actively identifies gaps in datasets, researchers can, in some cases, more than double their accuracy.Biomedical engineers at Duke University have demonstrated a new method to significantly improve the effectiveness of machine learning models searching for new molecular therapeutics when using just a fraction of the available data. By working with an algorithm that actively identifies gaps in datasets, researchers can, in some cases, more than double their accuracy.Computer Sciences[#item_full_content]