​Ramana Davuluri, a professor in the Department of Biomedical Informatics and Director of the Bioinformatics Shared Resource at Stony Brook Cancer Center, is leveraging artificial intelligence to enhance cancer research. His work focuses on analyzing genomic and molecular data to better understand cancer biology and improve treatment specificity. By applying machine learning algorithms to gene expression data, Davuluri aims to identify precise drug targets and predict cancer subtypes, such as glioblastoma and high-grade ovarian cancer. His research has revealed that many existing drugs may not effectively target the most relevant protein isoforms, highlighting the importance of considering genetic variability in drug development. Through these efforts, Davuluri seeks to advance personalized medicine by improving the accuracy and effectiveness of cancer therapies