Výsledky vyhledávání - "C. J. Musante"

Navigating Between Right, Wrong, and Relevant: The Use of Mathematical Modeling in Preclinical Decision Making

Autor: Anna, Kondic, Dean, Bottino, John, Harrold, Jeffrey D, Kearns, C J, Musante, Aleksandrs, Odinecs, Saroja, Ramanujan, Jangir, Selimkhanov, Birgit, Schoeberl

Publikováno v: Frontiers in Pharmacology. 13

The goal of this mini-review is to summarize the collective experience of the authors for how modeling and simulation approaches have been used to inform various decision points from discovery to First-In-Human clinical trials. The article is divided

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4960bae4a8a25b77d1e696a43b883c98
https://doi.org/10.3389/fphar.2022.860881

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Additional Methods and Results from Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats

Autor: S. Longobardi, A. Lewalle, S. Coveney, I. Sjaastad, E. K. S. Espe, W. E. Louch, C. J. Musante, A. Sher, S. A. Niederer

Cardiac contraction is the result of integrated cellular, tissue and organ function. Biophysical in silico cardiac models offer a systematic approach for studying these multi-scale interactions. The computational cost of such models is high, due to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099502cb78e7cc98a9577085e9e40f30

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Additional Methods and Results from Predicting left ventricular contractile function via Gaussian process emulation in aortic-banded rats. 27 April 2020

Autor: S. Longobardi, A. Lewalle, S. Coveney, I. Sjaastad, E. K. S. Espe, W. E. Louch, C. J. Musante, A. Sher, S. A. Niederer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f26ee70639cb3a188d6755f32721c266

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Predictions for a distributed parameter model describing the hepatic processing of 2,3,7,8-TCDD

Autor: C. J. Musante, Harvey Thomas Banks, Julie K. Raye

Publikováno v: Mathematical and Computer Modelling. 33(1-3):49-64

A distributed parameter model describing spatially-dependent hepatic processing of the chemical compound 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD or dioxin) has previously been reported [1]. The mathematical system consists of coupled nonlinear part

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8536102c4ed3db8c8e9ed0c0166ec44

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IMPORTANCE OF CLOUD MOTION ON CIGARETTE SMOKE DEPOSITION IN LUNG AIRWAYS

Autor: C. J. Musante, Ted B. Martonen

Publikováno v: Inhalation Toxicology. 12:261-280

Deposition patterns of mainstream cigarette smoke were studied in casts of human extrathoracic and lung airways. The laboratory tests were designed to simulate smoking (i.e., the behavior of undiluted cigarette smoke in smokers' lungs), not secondary

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f03b88f8bcd7b770207c95630b18463
https://doi.org/10.1080/08958370050165120

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A dispersion model for the hepatic uptake and elimination of 2,3,7,8-tetrachlorodibenzo-p-dioxin

Autor: C. J. Musante, Hien T. Tran, Harvey Thomas Banks

Publikováno v: Mathematical and Computer Modelling. 28(1):9-29

A convection-dispersion model for the uptake and elimination of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) in the liver is presented. The model is adapted from the general dispersion model of Roberts and Rowland and includes the dynamics of TCDD inte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d93a67fe1b12442795723eb834da1392

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A nonhuman primate aerosol deposition model for toxicological and pharmaceutical studies

Autor: Ira Katz, C. J. Musante, Ted B. Martonen

Publikováno v: Inhalation toxicology. 13(4)

Nonhuman primates may be used as human surrogates in inhalation exposure studies to assess either the (1) adverse health effects of airborne particulate matter or (2) therapeutic effects of aerosolized drugs and proteins. Mathematical models describi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6453627d76d77269e779e6f5fa0a427e
https://pubmed.ncbi.nlm.nih.gov/11295864

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