Vivek Subbiah: Federated Deep Learning Advances Cancer Subtyping
Vivek Subbiah, Chief of Early-Phase Drug Development at Sarah Cannon Research Institute, shared a post on LinkedIn about a paper by Zhaoxiang Cai et al. published in Cancer Discovery:
“A federated deep learning approach applied to human proteomic data, acquired using two distinct proteomic technologies from 40 tumor cohorts across eight countries, enabled accurate cancer histopathologic subtyping while preserving data privacy. This approach will enable the privacy-compliant development of large-scale proteomic artificial intelligence models, including foundation models, across institutions globally.”
Title: Federated Deep Learning Enables Cancer Subtyping by Proteomics
Authors: Zhaoxiang Cai, Emma L. Boys, Zainab Noor, Adel T. Aref, Dylan Xavier, Natasha Lucas, Steven G. Williams, Jennifer M.S. Koh, Rebecca C. Poulos, Yangxiu Wu, Michael Dausmann, Karen L. MacKenzie, Adriana Aguilar-Mahecha, Carolina Armengol, Maria M. Barranco, Mark Basik, Elise D. Bowman, Roderick Clifton-Bligh, Elizabeth A. Connolly, Wendy A. Cooper, Bhavik Dalal, Anna DeFazio, Martin Filipits, Peter J. Flynn, J. Dinny Graham, Jacob George, Anthony J. Gill, Michael Gnant, Rosemary Habib, Curtis C. Harris, Kate Harvey, Lisa G. Horvath, Christopher Jackson, Maija R.J. Kohonen-Corish, Elgene Lim, Jia (Jenny) Liu, Georgina V. Long, Reginald V. Lord, Graham J. Mann, Geoffrey W. McCaughan, Lucy Morgan, Leigh Murphy, Sumanth Nagabushan, Adnan Nagrial, Jordi Navinés, Benedict J. Panizza, Jaswinder S. Samra, Richard A. Scolyer, John Souglakos, Alexander Swarbrick, David Thomas, Rosemary L. Balleine, Peter G. Hains, Phillip J. Robinson, Qing Zhong, Roger R. Reddel
You can read the Full Article on Cancer Discovery.
More posts featuring Vivek Subbiah.
-
Challenging the Status Quo in Colorectal Cancer 2024
December 6-8, 2024
-
ESMO 2024 Congress
September 13-17, 2024
-
ASCO Annual Meeting
May 30 - June 4, 2024
-
Yvonne Award 2024
May 31, 2024
-
OncoThon 2024, Online
Feb. 15, 2024
-
Global Summit on War & Cancer 2023, Online
Dec. 14-16, 2023