Machine learning for prediction of cutaneous adverse events in patients receiving anti–PD-1 immunotherapy - 05/12/20
Doi : 10.1016/j.jaad.2020.04.069
Ryan T. Lewinson, MD, PhD a, b, Daniel E. Meyers, MD, MSc c, Isabelle A. Vallerand, MD, PhD a, Aleksi Suo, MD c, Michelle L. Dean, BSc c, Tina Cheng, MD, MSc c, D. Gwyn Bebb, MD, PhD c, Don G. Morris, MD, PhD c, ⁎ 
a Division of Dermatology, University of Calgary, Ontario, Canada
b Faculty of Kinesiology, University of Calgary, Ontario, Canada
c Department of Oncology, University of Calgary, Ontario, Canada
∗Correspondence to: Don G. Morris, MD, PhD, Department of Oncology, University of Calgary, 1331 29th Street NW, Calgary, AB, Canada, T2N 4N2Department of OncologyUniversity of Calgary1331 29th Street NWCalgaryABT2N 4N2Canada
| Drs Lewinson and Meyers are cofirst authors. |
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| Drs Bebb and Morris are cosenior authors. |
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| Funding sources: None. |
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| Conflicts of interest: None disclosed. |
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| IRB approval status: Approved by the Health Research Ethics Board of Alberta–Cancer Committee (HREBA.CC-17-0435_REN2 and HREBA.CC-16-0574_REN4). |
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| Reprints not available from the authors. |
© 2020
American Academy of Dermatology, Inc.. Publié par Elsevier Masson SAS. Tous droits réservés.
Vol 84 - N° 1
P. 183-185 - janvier 2021 Retour au numéro
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