Cracking the Cancer Code -- Teaser
09/10/24 • 0 min
Cracking the Cancer Code is an upcoming podcast series that will explore how data is being used to fight cancer! Join us as we talk to leading experts in cancer data science to talk in plain language about what this means for the future of cancer research.
Cracking the Cancer Code is an upcoming podcast series that will explore how data is being used to fight cancer! Join us as we talk to leading experts in cancer data science to talk in plain language about what this means for the future of cancer research.
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Cancer research isn’t what you think it is
This podcast episode introduces a new series called "Cracking the Cancer Code" that explores cancer research and how data science is revolutionizing the field. The hosts, Dr. Carrie Wright and Candace Savonen, discuss the history of cancer, its complexity as a disease, and how cancer research has evolved over time.
Find out more about the ITCR Training Network at the website
Find out more about ITCR at their website.
Special thanks to the individuals who allowed us to interview them:
Researchers:
Juli Klemm - Director of ITCR program
Jeff Leek - Chief Data Officer of Fred Hutchinson Cancer Center
Drew Jones - Assistant Professor at NYU Langone
Susanna Kiwala - Business and Technological Applications Analyst II - McDonnell Genome Institute
Kartik Singhal - PhD Student at Washington University in St. Louis
Anja Conev - Computer Science PhD Student at Rice University
Mariam Khanfar - PhD Student at Washington University in St. Louis
Chloe Herman - Ph.D. student at Northern Arizona University
What is Cancer Informatics? Interviewees:
Celina Bowman
Beverly Booth
Alyssa Kivari
Ann Savonen
Credits:
Directed by Candace Savonen and Carrie Wright
Produced by Elizabeth Humphries, Candace Savonen, and MJ Wu
Edited and written by MJ Wu
Also written by Elizabeth Humphries and Candace Savonen
Hosted by Candace Savonen and Carrie Wright
Cracking the Cancer Code - Cracking the Cancer Code -- Teaser
Transcript
What is cancer research? The number of different people that interact with data systems and biomedicine now is basically everyone in biomedicine. The common thread is people who are doing very data intensive, informatics intensive research. The future is here, it's just unevenly distributed. I think we've learned studying it one gene at a time is not sufficient to understand that complexity.
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