Artificial Intelligence for Precision Oncology: A Multi-Omics Knowledge Network for Personalized Lung Cancer Treatment

Dr. Maricel Kann, Department of Biological Sciences

Lung cancer, particularly non-small-cell lung cancer (NSCLC), is a significant health concern, with an estimated 238,340 new cases and 127,070 deaths expected in the United States in 2023 alone. Despite advances in targeted therapies and immune checkpoint blockade (ICB), resistance to these treatments is a common occurrence, underscoring the need for novel research approaches. This project aims to address these challenges by developing an artificial intelligence (AI) framework that integrates complex molecular data for the stratification of NSCLC patients. The proposed AI framework will enable personalized therapeutic strategies, overcoming the limitations of current precision oncology approaches. By translating knowledge from literature, functional genomics, and multi-omic patient-specific data, the framework will provide a comprehensive molecular model.