Pras Pathmanathan
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Explore the profile of Pras Pathmanathan including associated specialties, affiliations and a list of published articles.
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Recent Articles
11.
Sher A, Niederer S, Mirams G, Kirpichnikova A, Allen R, Pathmanathan P, et al.
Bull Math Biol
. 2022 Feb;
84(3):39.
PMID: 35132487
There is an inherent tension in Quantitative Systems Pharmacology (QSP) between the need to incorporate mathematical descriptions of complex physiology and drug targets with the necessity of developing robust, predictive...
12.
Braakman S, Pathmanathan P, Moore H
CPT Pharmacometrics Syst Pharmacol
. 2021 Dec;
11(3):264-289.
PMID: 34921743
As decisions in drug development increasingly rely on predictions from mechanistic systems models, assessing the predictive capability of such models is becoming more important. Several frameworks for the development of...
13.
Parvinian B, Bighamian R, Scully C, Hahn J, Pathmanathan P
Front Physiol
. 2021 Oct;
12:705222.
PMID: 34603074
Subject-specific mathematical models for prediction of physiological parameters such as blood volume, cardiac output, and blood pressure in response to hemorrhage have been developed. studies using these models may provide...
14.
Scully C, Pathmanathan P, Daluwatte C, Yaghouby F, Gray R, Weininger S, et al.
IEEE Life Sci Conf
. 2021 Sep;
2018:130-133.
PMID: 34514471
Physiological closed-loop controlled medical devices are safety-critical systems that combine patient monitors with therapy delivery devices to automatically titrate therapy to meet a patient's current need. Computational models of physiological...
15.
Pathmanathan P, Galappaththige S, Cordeiro J, Kaboudian A, Fenton F, Gray R
Front Physiol
. 2020 Dec;
11:585400.
PMID: 33329034
Computational modeling of cardiac electrophysiology (EP) has recently transitioned from a scientific research tool to clinical applications. To ensure reliability of clinical or regulatory decisions made using cardiac EP models,...
16.
Lei C, Ghosh S, Whittaker D, Aboelkassem Y, Beattie K, Cantwell C, et al.
Philos Trans A Math Phys Eng Sci
. 2020 May;
378(2173):20190349.
PMID: 32448065
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ methods to...
17.
Corral-Acero J, Margara F, Marciniak M, Rodero C, Loncaric F, Feng Y, et al.
Eur Heart J
. 2020 Mar;
41(48):4556-4564.
PMID: 32128588
Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue...
18.
Pathmanathan P, Cordeiro J, Gray R
Front Physiol
. 2019 Jul;
10:721.
PMID: 31297060
Recent efforts to ensure the reliability of computational model-based predictions in healthcare, such as the ASME V&V40 Standard, emphasize the importance of uncertainty quantification (UQ) and sensitivity analysis (SA) when...
19.
Galappaththige S, Pathmanathan P, Bishop M, Gray R
Front Physiol
. 2019 Jun;
10:564.
PMID: 31164829
Ventricular fibrillation (VF) is a lethal condition that affects millions worldwide. The mechanism underlying VF is unstable reentrant electrical waves rotating around lines called filaments. These complex spatio-temporal patterns can...
20.
Parvinian B, Pathmanathan P, Daluwatte C, Yaghouby F, Gray R, Weininger S, et al.
Front Physiol
. 2019 Apr;
10:220.
PMID: 30971934
Physiological closed-loop controlled medical devices automatically adjust therapy delivered to a patient to adjust a measured physiological variable. In critical care scenarios, these types of devices could automate, for example,...