Anthony S. Maida

This paper introduces ChemBERTaDDI, a framework using transformers to predict drug-drug interactions by combining molecular structures and clinical data, showing improved performance over existing methods.

This paper introduces a deep learning model that predicts tumor suppressor genes and oncogenes using PDB protein structures, achieving 82.57% accuracy.