TY - JOUR
T1 - Cancer Informatics for Cancer Centers
T2 - Scientific Drivers for Informatics, Data Science, and Care in Pediatric, Adolescent, and Young Adult Cancer
AU - Kerlavage, Anthony R.
AU - Kirchhoff, Anne C.
AU - Guidry Auvil, Jaime M.
AU - Sharpless, Norman E.
AU - Davis, Kara L.
AU - Reilly, Karlyne
AU - Reaman, Gregory
AU - Penberthy, Lynne
AU - Deapen, Dennis
AU - Hwang, Amie
AU - Durbin, Eric B.
AU - Gallotto, Sara L.
AU - Aplenc, Richard
AU - Volchenboum, Samuel L.
AU - Heath, Allison P.
AU - Aronow, Bruce J.
AU - Zhang, Jinghui
AU - Vaske, Olena
AU - Alonzo, Todd A.
AU - Nathan, Paul C.
AU - Poynter, Jenny N.
AU - Armstrong, Greg
AU - Hahn, Erin E.
AU - Wernli, Karen J.
AU - Greene, Casey
AU - DiGiovanna, Jack
AU - Resnick, Adam C.
AU - Shalley, Eve R.
AU - Nadaf, Sorena
AU - Kibbe, Warren A.
N1 - Publisher Copyright:
© 2023 American Society of Clinical Oncology. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute’s Childhood Cancer Data Initiative.
AB - Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute’s Childhood Cancer Data Initiative.
UR - http://www.scopus.com/inward/record.url?scp=85114970290&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114970290&partnerID=8YFLogxK
U2 - 10.1200/cci.21.00040
DO - 10.1200/cci.21.00040
M3 - Article
C2 - 34428097
AN - SCOPUS:85114970290
SN - 2473-4276
VL - 5
SP - 881
EP - 896
JO - JCO Clinical Cancer Informatics
JF - JCO Clinical Cancer Informatics
ER -