Author

Maryam Rahmani

University of Rhode IslandORCID 0009-0003-6853-4367Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Daniel RoxburyiD· 2 shared Aceer NadeemiD· 1 shared Aidan KindoppiD· 1 shared Ella Junge· 1 shared Katherine Van Gorden· 1 shared Shelly R. PeytoniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioengineering

Daniel RoxburyORCID

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2 papers

Recent·Most cited

In Vitro Detection of Breast Cancer Cell Types Using Machine Learning-Assisted Spectral Fingerprinting of SWCNTs

Maryam Rahmani, Katherine Van Gorden, Shelly R. Peyton, Daniel Roxbury

This paper uses machine learning and SWCNT spectral fingerprinting to detect and subtype breast cancer cells in live culture with high accuracy.

bioRxiv · Jul 1, 2026 · PreprintBioengineering

Enhancing Optical Properties and Stability of DNA-Functionalized Carbon Nanotubes with Cryoprotectant Mediated Lyophilization

Aceer Nadeem, Aidan Kindopp, Ella Junge, Maryam Rahmani, Daniel Roxbury

This study improves the stability and reconstitution of DNA-functionalized carbon nanotubes using lyophilization with cryoprotectants, enhancing their performance in biomedical applications.

Carbon · Dec 19, 2025Peer-reviewedBioengineering