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Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative.
Bergquist T, Loomba J, Pfaff E, Xia F, Zhao Z, Zhu Y, Mitchell E, Bhattacharya B, Shetty G, Munia T, Delong G, Tariq A, Butzin-Dozier Z, Ji Y, Li H, Coyle J, Shi S, Philips RV, Mertens A, Pirracchio R, van der Laan M, Colford JM Jr, Hubbard A, Gao J, Chen G, Velingker N, Li Z, Wu Y, Stein A, Huang J, Dai Z, Long Q, Naik M, Holmes J, Mowery D, Wong E, Parekh R, Getzen E, Hightower J, Blase J; Long COVID Computational Challenge Participants; N3C Consortium. Bergquist T, et al. EBioMedicine. 2024 Oct;108:105333. doi: 10.1016/j.ebiom.2024.105333. Epub 2024 Sep 24. EBioMedicine. 2024. PMID: 39321500 Free PMC article.
Explainable Artificial Intelligence to Identify Dosimetric Predictors of Toxicity in Patients with Locally Advanced Non-Small Cell Lung Cancer: A Secondary Analysis of RTOG 0617.
Ladbury C, Li R, Danesharasteh A, Ertem Z, Tam A, Liu J, Hao C, Li R, McGee H, Sampath S, Williams T, Glaser S, Khasawneh M, Liao Z, Lee P, Ryckman J, Shaikh P, Amini A. Ladbury C, et al. Among authors: danesharasteh a. Int J Radiat Oncol Biol Phys. 2023 Dec 1;117(5):1287-1296. doi: 10.1016/j.ijrobp.2023.06.019. Epub 2023 Jul 3. Int J Radiat Oncol Biol Phys. 2023. PMID: 37406826 Clinical Trial.