Author

C. M. Nguyen

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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Bioengineering· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:experimental assay· 2 Assay:fluorescence / live-cell microscopy· 2 Research Focus:chromatin & epigenetic regulation· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

A. Dowdye· 1 shared A. Gonzalo· 1 shared A. K. Tewari· 1 shared A. L. Damon· 1 shared A. Lo· 1 shared A. M. Kahn· 1 shared A. T. M. Cheung· 1 shared B. Maidu· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperCancer Biology

A. Dowdye

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Author profile →

3 papers

Recent·Most cited

Super-resolution Left Ventricular Flow and Pressure Mapping by Navier-Stokes-Informed Neural Networks

B. Maidu, P. Martinez-Legazpi, M. Guerrero-Hurtado, C. M. Nguyen, A. Gonzalo, A. M. Kahn, J. Bermejo, O. Flores, J. C. del Alamo

This paper introduces AI-VFM, a physics-informed neural network method for super-resolution left ventricular flow and pressure mapping from echocardiographic data.

bioRxiv · Apr 12, 2024Bioengineering

A patient-driven clinicogenomic partnership through the Metastatic Prostate Cancer Project

J. Crowdis, S. Balch, L. Sterlin, B. S. Thomas, S. Y. Camp, M. Dunphy, E. Anastasio, S. Shah, A. L. Damon, R. Ramos, D. M. Sosa, I. K. Small, B. Tomson, C. M. Nguyen, M. McGillicuddy, , E. M. Van Allen

The paper describes a patient-driven initiative that collects clinicogenomic data from metastatic prostate cancer patients, revealing consistent patient-reported data and genomic insights from cfDNA samples.

bioRxiv · Jul 9, 2021 · PreprintCancer Biology

Temporal-Spatial Visualization of Endogenous Chromosome Rearrangements in Living Cells

H. Wang, M. Nakamura, D. Zhao, C. M. Nguyen, C. Yu, A. Lo, T. Daley, M. La Russa, Y. Liu, L. S. Qi

This paper introduces LiveFISH, a method to visualize real-time chromosomal rearrangements in living cells, and demonstrates its application in detecting gene-editing induced translocations.

bioRxiv · Aug 14, 2019 · PreprintBioengineering