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Hematology/Oncology Clinics of North America|June 10, 2026
Big Data in Pediatric Oncology: Hope, Hype, RealityKirk D Wyatt, Samuel L VolchenboumJCO Oncology Practice|February 22, 2024
Targeted Enrollment in Pediatric Oncology Trials: A Vision for Just-in-Time MatchingKirk D Wyatt, Samuel L VolchenboumJCO Clinical Cancer Informatics|November 25, 2024
Rethinking Human Abstraction as the Gold StandardKirk D Wyatt, Brian T Furner, Samuel L VolchenboumJAMIA Open|February 2, 2024
An open-source platform for pediatric cancer data exploration: a report from Data for the Common GoodKirk D Wyatt, Luca Graglia, Brian Furner, et al.JCO Clinical Cancer Informatics|July 10, 2023
Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric LeukemiaSamuel Kaskovich, Kirk D Wyatt, Tomasz Oliwa, et al.Pediatric Blood & Cancer|June 26, 2024
Making sense of artificial intelligence and large language models-including ChatGPT-in pediatric hematology/oncologyKirk D Wyatt, Natasha Alexander, Gerard D Hills, et al.JCO Clinical Cancer Informatics|May 30, 2024
Extracting Electronic Health Record Neuroblastoma Treatment Data With High Fidelity Using the REDCap Clinical Data Interoperability Services ModuleBrian Furner, Alex Cheng, Ami V Desai, et al.Seminars in Oncology|April 2, 2020
Using big data in pediatric oncology: Current applications and future directionsAjay Major, Suzanne M Cox, Samuel L VolchenboumJCO Clinical Cancer Informatics|January 18, 2019
Use of Wearable, Mobile, and Sensor Technology in Cancer Clinical TrialsSuzanne M Cox, Ashley Lane, Samuel L VolchenboumJournal of the National Cancer Institute|January 26, 2024
Accelerating pediatric Hodgkin lymphoma research: the Hodgkin Lymphoma Data Collaboration (NODAL)Kirk D Wyatt, Suzi Birz, Sharon M Castellino, et al.Pageof 10