Predicting Drug Interactions to Unassociated Biomedical Implants Using Machine Learning Techniques and Model Polymers
The paper develops a universal model to predict drug-polymer binding affinity using machine learning and quantitative structure-activity relationships, achieving high correlation with experimental data.
bioRxiv · Nov 10, 2020 · PreprintBioengineering