Author

Antonio Mastroberardino

United States Military AcademyORCID 0000-0002-7195-4851Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Adam GlickiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintApr 18, 2026

A Hybrid PINN-DE Framework for Data-Driven Parameter Estimation of Tumor-Immune Dynamics in Bladder Cancer

Antonio Mastroberardino, Adam Glick

This paper develops a hybrid PINN-DE framework for parameter estimation in tumor-immune dynamics of bladder cancer, showing improved accuracy and efficiency compared to individual methods.

DOI 10.64898/2026.02.17.706276

humanclinical cohort / trial

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