Výsledky vyhledávání - "Francis A Ortega"

Akademický článek

Overexpression of Map3k7 activates sinoatrial node-like differentiation in mouse ES-derived cardiomyocytes.

Autor: Kemar Brown, Stephanie Legros, Francis A Ortega, Yunkai Dai, Michael Xavier Doss, David J Christini, Richard B Robinson, Ann C Foley

Publikováno v: PLoS ONE, Vol 12, Iss 12, p e0189818 (2017)

In vivo, cardiomyocytes comprise a heterogeneous population of contractile cells defined by unique electrophysiologies, molecular markers and morphologies. The mechanisms directing myocardial cells to specific sub-lineages remain poorly understood. H

Externí odkaz: https://doaj.org/article/b5f7aed9224a42478ecb7be635eb5f22

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Akademický článek

Cell-specific cardiac electrophysiology models.

Autor: Willemijn Groenendaal, Francis A Ortega, Armen R Kherlopian, Andrew C Zygmunt, Trine Krogh-Madsen, David J Christini

Publikováno v: PLoS Computational Biology, Vol 11, Iss 4, p e1004242 (2015)

The traditional cardiac model-building paradigm involves constructing a composite model using data collected from many cells. Equations are derived for each relevant cellular component (e.g., ion channel, exchanger) independently. After the equations

Externí odkaz: https://doaj.org/article/955d66251d1f439a96259fddd41f95af

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Akademický článek

A dual SHOX2:GFP; MYH6:mCherry knockin hESC reporter line for derivation of human SAN-like cells

Publikováno v: iScience, Vol 25, Iss 4, Pp 104153- (2022)

Summary: The sinoatrial node (SAN) is the primary pacemaker of the heart. The human SAN is poorly understood due to limited primary tissue access and limitations in robust in vitro derivation methods. We developed a dual SHOX2:GFP; MYH6:mCherry knock

Externí odkaz: https://doaj.org/article/fef061437c7f48f58546ebc077cf20d3

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Akademický článek

Reevaluation of missed lung cancer with artificial intelligence

Autor: Serge Sicular, Mehmet Alpaslan, Francis A. Ortega, Nora Keathley, Srivas Venkatesh, Rebecca M. Jones, Robert V. Lindsey

Publikováno v: Respiratory Medicine Case Reports, Vol 39, Iss , Pp 101733- (2022)

Lung cancer is often missed on chest radiographs, despite chest radiography typically being the first imaging modality in the diagnosis pathway. We present a 46 year-old male with chest pain referred for chest X-ray, and initial interpretation report

Externí odkaz: https://doaj.org/article/4a5e72b4f56c4c9ba5b5fe1df69fa674

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A dual

Publikováno v: iScience. 25(4)

The sinoatrial node (SAN) is the primary pacemaker of the heart. The human SAN is poorly understood due to limited primary tissue access and limitations in robust

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d519a640ec8271ca23bd68d2f96d3e1b
https://pubmed.ncbi.nlm.nih.gov/35434558

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Validation of quantitative measure of repolarization reserve as a novel marker of drug induced proarrhythmia

Autor: Isabella Mengarelli, Arie O. Verkerk, Francis A. Ortega, Ruben Coronel, David J. Christini, Trine Krogh-Madsen, Edward J. Vigmond, Namit Gaur

Publikováno v: Journal of Molecular and Cellular Cardiology
Journal of Molecular and Cellular Cardiology, Elsevier, 2020, 145, pp.122-132. ⟨10.1016/j.yjmcc.2020.04.019⟩
Journal of molecular and cellular cardiology, 145, 122-132. Academic Press Inc.

Repolarization reserve, the robustness of a cell to repolarize even when one of the repolarization mechanisms is failing, has been described qualitatively in terms of ionic currents, but has not been quantified by a generic metric that is applicable

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95c82429aefd2325f3b6c2439d8bee68
https://hal.archives-ouvertes.fr/hal-03492208

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DeepFocus: A deep learning model for focusing microscope systems

Autor: Ayush Kumar, Francis A. Ortega, Tonislav Ivanov, Putman Matthew C, Denis Sharoukhov

Publikováno v: Applications of Machine Learning 2020.

Conventional microscopy focusing methods perform a time consuming sweep through the Z-axis in order to estimate the focal plane. As an alternative, we developed a deep learning model that predicts in one shot the distance offset to the focal plane fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0a50f356f558eda89e50f26e7973478
https://doi.org/10.1117/12.2568990

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DeepDenoise: A deep learning model for noise reduction in low SNR imaging conditions

Autor: Ayush Kumar, Denis Sharoukhov, Francis A. Ortega, Tonislav Ivanov, Putman Matthew C

Publikováno v: Applications of Machine Learning 2020.

Low signal to noise ratio (SNR) conditions degrade microscopy imaging quality, which complicates downstream post-processing and analysis. One conventional method to improve SNR by reducing noise is to average a large number of sequentially acquired i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42dfa91d8f7fe0f9dd9c6d89531c302e
https://doi.org/10.1117/12.2568986

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