Author

Eugenio Aulisa

Texas Tech UniversityORCID 0000-0002-1057-2198Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Rifat Rejuan· 1 shared Sanjoy Kumar· 1 shared Sunčica ČanićiD· 1 shared Travis ThompsoniD· 1 shared Wei LiiD· 1 shared Yifan WangiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperCancer Biology

Rifat Rejuan

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1 paper

Recent·Most cited

Cancer BiologyInternational Journal for Numerical Methods in Biomedical EngineeringPeer-reviewedApr 1, 2025

Validation of a Microfluidic Device Prototype for Cancer Detection and Identification: Circulating Tumor Cells Classification Based on Cell Trajectory Analysis Leveraging Cell-Based Modeling and Machine Learning

Rifat Rejuan, Eugenio Aulisa, Wei Li…·Yifan Wang

This paper validates a microfluidic device for CTC classification using cell trajectory analysis and machine learning, showing potential for early cancer detection.

11 citations

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