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JCO Clinical Cancer Informatics|November 30, 2020
Impact of COVID-19 on Cancer Care: How the Pandemic Is Delaying Cancer Diagnosis and Treatment for American SeniorsDebra Patt, Lucio Gordan, Michael Diaz, et al.
JCO Clinical Cancer Informatics|March 29, 2020
SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and VisualizationFan Zhang, Thomas Noh, Parikshit Juvekar, et al.
JCO Clinical Cancer Informatics|June 30, 2020
Statistical Assessment of Depth Normalization for Small RNA SequencingLi-Xuan Qin, Jian Zou, Jiejun Shi, et al.
JCO Clinical Cancer Informatics|May 26, 2023
Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient NotesAbigail Derton, Marco Guevara, Shan Chen, et al.
JCO Clinical Cancer Informatics|May 15, 2023
Physical Examination in Medical Oncology Guiding the Development of a Protocol for Teleoncology Care in a Public Health Care Oncology ServicePedro Nazareth Aguiar, Mirella Stival, Marcos Aurelio Fonseca Magalhães Filho, et al.
JCO Clinical Cancer Informatics|August 20, 2025
Safe and Responsible Use of Artificial Intelligence in Health Care: Current Regulatory Landscape and Considerations for Regulatory PolicyAlaap Shah, Sekeithia Mitchell, Gary Coad, et al.
JCO Clinical Cancer Informatics|March 6, 2023
Integrative Scoring System for Survival Prediction in Patients With Locally Advanced Nasopharyngeal Carcinoma: A Retrospective Multicenter StudyBin Zhang, Chun Luo, Xiao Zhang, et al.
JCO Clinical Cancer Informatics|August 24, 2021
Digital Literacy at an Urban Cancer Center: Implications for Technology Use and Vulnerable PatientsAmy E Leader, Lisa M Capparella, Lauren B Waldman, et al.
JCO Clinical Cancer Informatics|August 24, 2021
Cancer Informatics for Cancer Centers: Scientific Drivers for Informatics, Data Science, and Care in Pediatric, Adolescent, and Young Adult CancerAnthony R Kerlavage, Anne C Kirchhoff, Jaime M Guidry Auvil, et al.
JCO Clinical Cancer Informatics|September 15, 2021
Implementing a Machine Learning Strategy to Predict Pathologic Response in Patients With Soft Tissue Sarcomas Treated With Neoadjuvant ChemotherapyAmandine Crombé, Sophie Cousin, Mariella Spalato-Ceruso, et al.
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