Author

Mona Eskandari

University of California, RiversideORCID 0000-0002-9657-2614Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Ahmet Erdemir· 1 shared Alejandro Aparici-GiliD· 1 shared Ali Cagdas AkyildiziD· 1 shared Amisha Desai· 1 shared Andrew Dong· 1 shared Annie MorchiD· 1 shared Anser Qazi· 1 shared Baptiste PierratiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

Ahmet Erdemir

Mutual co-authors in cluster

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2 papers

Recent·Most cited

A Machine Learning Approach to Predicting Dyspnea with Noninvasive Biomarkers

Karapet G. Mkrtchyan, Anser Qazi, Borena Lonh, Andrew Dong, Gustavo O. Ramirez, Mona Eskandari, Shujie Ma, Wei Vivian Li, Erica C. Heinrich

This study uses machine learning to predict dyspnea using noninvasive biomarkers, achieving higher accuracy than observational estimates in a healthy population.

Respiratory Physiology & Neurobiology · Apr 12, 2026Peer-reviewedPhysiology

Community Challenge towards Consensus on Characterization of Biological Tissue: C4Bio's First Findings

Nele Famaey, Heleen Fehervary, Yoann Lafon, Ali Cagdas Akyildiz, Silke Dreesen, Karine Bruyère-Garnier, Jean‐Marc Allain, Marta Alloisio, Alejandro Aparici-Gil, Chiara Catalano, Fanette Chassagne, Snehal K. Chokhandre, Kimberly Crevits, Hanneke Crielaard, Eoghan M. Cunnane, , Liesbet Geris

This study assesses inter-laboratory variability in mechanical property characterization of porcine aorta through two testing rounds, highlighting persistent discrepancies despite protocol standardization.

Journal of Biomechanics · Oct 18, 2025Peer-reviewedBioengineering