Saurabh Nair

Physics and Imaging in Radiation Oncology 10.1016/j.phro.2025.100838 Post-print Machine learning, Radiomics, Outcome prediction modeling, Radiation esophagitis, Non small cell lung cancer (NSCLC) yes Nair, Saurabh S; Salazar, Ramon M; Xu, Ting; et al., "Multiomic Random Forest Toxicity Modeling of Radiation Esophagitis" (2025). Faculty, Staff and Student Publications. 5493. https://digitalcommons.library.tmc.edu/uthgsbs_docs/5493

1Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States 2Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston/The University of Texas MD Anderson Cancer Center, Houston, TX, United States 3School of Health Professions, The University of Texas MD Anderson Cancer Center, Houston, TX, United States 4Department of Gastrointestinal Radiation Oncology, The University of Texas MD Anderson Cancer Center,...

ORIGINAL RESEARCH article Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1680342 This article is part of the Research TopicRadiation Spatial Fractionation—A novel approach to integrate Physics, Biology, and Immunology for high therapeutic index radiotherapyView all 6 articles 1 Introduction The evolution of radiation therapy, spurred by recent advances in technology and automation, continues to drive the exploration of innovative dose delivery strategies and treatment approaches.