AAPM VL-Integrating Radiomics and Genomics for Personalized Cancer Therapy in the Era of AI and Big Data

2019 AAPM Annual Meeting - Session: Integrating Radiomics and Genomics for Personalized Cancer Therapy in the Era of AI and Big Data

Integrating Imaging and Molecular Biomarkers for Personalized Cancer Therapy
Ruijiang Li, PhD Stanford University
ruijiangli@stanford.edu

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All videos in this session:

	Multifaceted Radiomics Models for Treatment Outcome Prediction - Jing Wang, PhD UT Southwestern Medical Center
	Genetic Risk Modeling Using Machine Learning to Predict Radiotherapy Complications and Identify Key Biological Correlates - Jung Hun Oh, Memorial Sloan-Kettering Cancer Center

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2019 AAPM Annual Meeting - Session: Integrating Radiomics and Genomics for Personalized Cancer Therapy in the Era of AI and Big Data