Author

Nadine Hartmann

Epic Sciences (United States)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander G. AbanoviD· 1 shared Dario Villani· 1 shared Ernest T. Lam· 1 shared Giuseppe Di· 1 shared Harold Steinacker· 1 shared Jerome R. BusemeyeriD· 1 shared Kharen Musaelian· 1 shared Luca Candelori· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Alexander G. AbanovORCID

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1 paper

Recent·Most cited

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability

Giuseppe Di, Vahagn Kirakosyan, Alexander G. Abanov, Jerome R. Busemeyer, Luca Candelori, Nadine Hartmann, Ernest T. Lam, Kharen Musaelian, Ryan Samson, Harold Steinacker, Dario Villani, Martin T. Wells, RICHARD J. WENSTRUP, Mengjia Xu

This paper introduces QCML, a quantum-inspired machine learning framework, to predict chromosomal instability from CTC morphology, achieving higher accuracy than conventional methods in high-dimensional biomedical data.

bioRxiv · May 30, 2025 · PreprintCancer Biology