Author

Samyukta Sah

Georgia Institute of TechnologyORCID 0009-0005-7582-7402Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

David A. GauliD· 1 shared Facundo M. FernándeziD· 1 shared Hanbyoul ChoiD· 1 shared Hyewon ChungiD· 1 shared Jae-Hoon KimiD· 1 shared Jaeyeon KimiD· 1 shared Olatomiwa O. BifariniD· 1 shared Samuel G. MooreiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

David A. GaulORCID

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1 paper

Recent·Most cited

Cancer BiologyCancer Epidemiology Biomarkers & PreventionPeer-reviewedFeb 27, 2024

Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women

Samyukta Sah, Olatomiwa O. Bifarin, Samuel G. Moore…·Facundo M. Fernández

This study identifies a distinct lipidome signature in Korean women with ovarian cancer, showing early-stage alterations and a predictive panel of 17 lipids with 85% accuracy.

12 citations

humanmetabolomics

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