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JCO Clinical Cancer Informatics|September 24, 2020
Effect of an Artificial Intelligence Clinical Decision Support System on Treatment Decisions for Complex Breast CancerFengrui Xu, Martín-J Sepúlveda, Zefei Jiang, et al.
JCO Clinical Cancer Informatics|October 28, 2020
Clone Wars: Quantitatively Understanding Cancer Drug ResistanceJames W T Yates, Hitesh Mistry
JCO Clinical Cancer Informatics|October 28, 2020
Clinical Utility and User Perceptions of a Digital System for Electronic Patient-Reported Symptom Monitoring During Routine Cancer Care: Findings From the PRO-TECT TrialEthan Basch, Angela M Stover, Deborah Schrag, et al.
JCO Clinical Cancer Informatics|July 8, 2021
Contrast of Digital and Health Literacy Between IT and Health Care Specialists Highlights the Importance of Multidisciplinary Teams for Digital Health-A Pilot StudyAndré Pfob, Chris Sidey-Gibbons, Maximilian Schuessler, et al.
JCO Clinical Cancer Informatics|June 10, 2021
Next-Generation Implementation of Chimeric Antigen Receptor T-Cell Therapy Using Digital HealthRahul Banerjee, Nina Shah, Adam P Dicker
JCO Clinical Cancer Informatics|June 10, 2021
Summary of the 12 Most Common Cancers in the CancerLinQ Discovery (CLQD) DatabaseDanielle M Potter, Mark F Riffon, Brittany Manning, et al.
JCO Clinical Cancer Informatics|October 30, 2020
Population Heath Informatics Can Advance Interoperability: National Program of Cancer Registries Electronic Pathology Reporting ProjectLori A Pollack, Sandra F Jones, Wendy Blumenthal, et al.
JCO Clinical Cancer Informatics|July 30, 2021
Racial Differences in Patient Portal Activation and Research Enrollment Among Patients With Prostate CancerChanita Hughes Halbert, Melanie Jefferson, Caitlin G Allen, et al.
JCO Clinical Cancer Informatics|February 21, 2020
Cancer Informatics for Cancer Centers (CI4CC): Building a Community Focused on Sharing Ideas and Best Practices to Improve Cancer Care and Patient OutcomesJill S Barnholtz-Sloan, Dana E Rollison, Amrita Basu, et al.
JCO Clinical Cancer Informatics|September 24, 2019
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility GenesYujia Bao, Zhengyi Deng, Yan Wang, et al.
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