Vivek Subbiah: An overview of AI methods designed to detect cancer early
Vivek Subbiah, Chief of Early-Phase Drug Development at the Sarah Cannon Research Institute, shared a post on LinkedIn, about a paper by Amalie Dahl Haue et al. published in Lancet Oncology.
“Artificial intelligence-aided data mining of medical records for cancer detection and screening”
This Review in Lancet Oncology provides an overview of artificial intelligence methods designed to detect cancer early, including key aspects of concern (eg, the problem of data drift—when the underlying health-care data change over time), ethical aspects, and discrepancies between access to cancer screening in high-income countries versus low-income and middle-income countries.”
“Artificial intelligence-aided data mining of medical records for cancer detection and screening”
Authors: Amalie Dahl Haue, Jessica Xin Hjaltelin, Peter Christoffer Holm, Davide Placido, Soren Brunak.
More posts featuring Vivek Subbiah.
Vivek Subbiah is the Chief of Early-Phase Drug Development at the Sarah Cannon Research Institute (USA). He is the former Executive Director of Oncology Research and former Associate Professor in the Department of Investigational Cancer Therapeutics at the MD Anderson Cancer.
He focuses on translational cancer research and the design and implementation of early-phase biomarker-driven clinical trials. His work specifically targets antibody-drug conjugates, radiopharmaceuticals, immunoconjugates, and basket trials. He has also received the Yvonne Award 2024 by OncoDaily in the “Voice of Oncology” category.
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