Panayiotis Benos

Professor

University of Florida

United States

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Professor Panayiotis Benos is a faculty member at the University of Florida, USA. His research areas focus on mathematical and computational oncology, causal inference from multi-omic datasets, and the immunological aspects of critical illnesses including COVID-19. He has contributed to significant studies on immune profiles, transcriptomics, and the modeling of biomedical data.

Articles (10)

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (5)

Laura M. Molina

University of Pittsburgh School of Medicine

UNITED STATES

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Jishnu Das

Assistant Professor

University of Pittsburgh School of Medicine

UNITED STATES

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Harinder Singh

Professor and Director

University of Pittsburgh

UNITED STATES

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Tamara Cruz

Lector Professor

University of Barcelona

SPAIN

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Ashwin Somasundaram

Assistant Professor of Medicine

University of North Carolina at Chapel Hill

UNITED STATES

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Panayiotis Benos

Research Interests

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Articles (10)

Editorial: Advances in Mathematical and Computational Oncology.

Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets.

People critically ill with COVID-19 exhibit peripheral immune profiles predictive of mortality and reflective of SARS-CoV-2 lung viral burden.

Transcriptomics of bronchoalveolar lavage cells identifies new molecular endotypes of sarcoidosis.

Neurological Complications Acquired During Pediatric Critical Illness: Exploratory "Mixed Graphical Modeling" Analysis Using Serum Biomarker Levels.

Reduced Proportion and Activity of Natural Killer Cells in the Lung of Patients with Idiopathic Pulmonary Fibrosis.

Compensatory hepatic adaptation accompanies permanent absence of intrahepatic biliary network due to YAP1 loss in liver progenitors.

Myofibroblast transcriptome indicates SFRP2<sup>hi</sup> fibroblast progenitors in systemic sclerosis skin.

Plasma 1,3-β-d-glucan levels predict adverse clinical outcomes in critical illness.

A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data.

Collaborators (5)

Laura M. Molina

Jishnu Das

Harinder Singh

Tamara Cruz

Ashwin Somasundaram

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