Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

Autor: Carlos A. Bulant, Gustavo A. Boroni, Ronald Bass, Lorenz Räber, Pedro A. Lemos, Héctor M. García-García, Pablo J. Blanco

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)

Abstract Coronary artery disease is defined by the existence of atherosclerotic plaque on the arterial wall, which can cause blood flow impairment, or plaque rupture, and ultimately lead to myocardial ischemia. Intravascular ultrasound (IVUS) imaging

Externí odkaz: https://doaj.org/article/f2470a542052451180155800326e3ce3

Pleiotropic antifibrotic actions of aspirin-triggered resolvin D1 in the lungs

Autor: Rafael F. Guilherme, José Bruno N.F. Silva, Ingrid Waclawiack, Vanderlei S. Fraga-Junior, Thaís O. Nogueira, Cyntia Pecli, Carlla A. Araújo-Silva, Nathalia S. Magalhães, Felipe S. Lemos, Carlos A. Bulant, Pablo J. Blanco, Rafaela Serra, Erik Svensjö, Júlio Scharfstein, João A. Moraes, Claudio Canetti, Claudia F. Benjamim

Publikováno v: Frontiers in Immunology, Vol 14 (2023)

IntroductionPulmonary fibrosis is a destructive, progressive disease that dramatically reduces life quality of patients, ultimately leading to death. Therapeutic regimens for pulmonary fibrosis have shown limited benefits, hence justifying the effort

Externí odkaz: https://doaj.org/article/07b139003d154214b4f56cea93ea5926

Bond Graph Model of Cerebral Circulation: Toward Clinically Feasible Systemic Blood Flow Simulations

Autor: Soroush Safaei, Pablo J. Blanco, Lucas O. Müller, Leif R. Hellevik, Peter J. Hunter

Publikováno v: Frontiers in Physiology, Vol 9 (2018)

We propose a detailed CellML model of the human cerebral circulation that runs faster than real time on a desktop computer and is designed for use in clinical settings when the speed of response is important. A lumped parameter mathematical model, wh

Externí odkaz: https://doaj.org/article/d8eba8c62e88440295d50a370b6825b9

Quantitative coronary three‐dimensional geometry and its association with atherosclerotic disease burden and composition

Autor: Guy F. A. Prado, Pablo J. Blanco, Carlos A. Bulant, Gonzalo D. Ares, Jose Mariani, Adriano Caixeta, Breno O. Almeida, Stefano Garzon, Fábio A. Pinton, Emanuele Barbato, Flavio L. Ribichini, Gabor G. Toth, Felix Mahfoud, William Wijns, Hector M. Garcia‐Garcia, Pedro A. Lemos

Publikováno v: Catheterization and Cardiovascular Interventions. 101:1036-1044

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::71fc20c692181adfc14a7a8bd802532d
https://doi.org/10.1002/ccd.30639

Human vs. machine vs. core lab for the assessment of coronary atherosclerosis with lumen and vessel contour segmentation with intravascular ultrasound

Autor: Ronald D. Bass, Hector M. Garcia-Garcia, Jorge Sanz-Sánchez, Paulo G. P. Ziemer, Carlos A. Bulant, Kayode K. Kuku, Yirga A. Kahsay, Solomon Beyene, Gebremedhin Melaku, Tatsuhiko Otsuka, JooHee Choi, Estefanía Fernández-Peregrina, Emrah Erdogan, Nieves Gonzalo, Christos V. Bourantas, Pablo J. Blanco, Lorenz Räber

Publikováno v: INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname

A machine learning (ML) algorithm for automatic segmentation of intravascular ultrasound was previously validated. It has the potential to improve efficiency, accuracy and precision of coronary vessel segmentation compared to manual segmentation by i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::912a2bca28274128d7a7a317a5c4d02b
https://doi.org/10.1007/s10554-022-02563-6