معرفی
Nicholas S. Moore, MD is an Assistant Professor of Therapeutic Radiology at Yale School of Medicine, where he provides clinical care at Smilow Cancer Hospital in New Haven and Hamden. His primary appointment is in the Department of Therapeutic Radiology, with additional affiliations at Yale Cancer Center and Yale Medicine.
Dr. Moore received his AB from Harvard University in 2014, followed by his MD from Harvard Medical School in 2020. He completed his internship at Beth Israel Deaconess Medical Center in 2021 and served as Chief Resident at Yale New Haven Hospital through 2025.
Dr. Moore specializes clinically in treating central nervous system tumors in adults and children, as well as genitourinary, head & neck, gastrointestinal, and hematologic malignancies. His research program focuses on applying artificial intelligence to advance patient care in radiation oncology, with particular emphasis on integrating molecular profiles into clinical decision-making frameworks and developing AI tools for analyzing radiology reports and predicting cancer outcomes. His work bridges the gap between computational approaches and clinical radiation oncology practice, with publications spanning multiple high-impact journals.
Analysis of Dr. Moore's recent publications reveals a strong focus on precision oncology, particularly in applying artificial intelligence to radiation treatment planning and outcome prediction. His research spans multiple cancer types including renal cell carcinoma, lung cancer, chronic lymphocytic leukemia, and bladder cancer. A significant portion of his work involves developing computational methods to integrate genomic data with clinical decision-making, with increasing emphasis on natural language processing of radiology reports and AI-driven treatment planning. His collaborative work with researchers like David A. Braun demonstrates his integration into Yale's cancer research ecosystem.
Dr. Moore serves as a radiation oncologist caring for patients at Smilow Cancer Hospital in New Haven and Hamden, with clinical expertise spanning multiple cancer types. His dual focus on clinical care and computational research positions him at the forefront of the emerging field of AI-enhanced radiation oncology.