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Imaging and AI based chromatin biomarkers for diagnosis and therapy evaluation from liquid biopsies

Medicine and Health

Imaging and AI based chromatin biomarkers for diagnosis and therapy evaluation from liquid biopsies

K. Challa, D. Paysan, et al.

This groundbreaking study explores chromatin organization in PBMCs as game-changing biomarkers for cancer diagnosis and treatment evaluation. Authored by Kiran Challa, Daniel Paysan, Dominic Leiser, Nadia Sauder, Damien C. Weber, and G. V. Shivashankar, the research showcases a highly accurate machine learning pipeline capable of distinguishing healthy individuals from tumor patients and evaluating treatment effects. Discover the future of cancer diagnostics!

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Playback language: English
Citation Metrics
Citations
3
Influential Citations
0
Reference Count
78
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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