Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy

Autor: Bustos, Aurelia, Mas_Serrano, Patricio, Boquera, Mari L., Salinas, Jose M.

Introduction: Real-world data generated from clinical practice can be used to analyze the real-world evidence (RWE) of COVID-19 pharmacotherapy and validate the results of randomized clinical trials (RCTs). Machine learning (ML) methods are being use

Externí odkaz: http://arxiv.org/abs/2107.10239

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Detection of Helmet Use in Motorcycle Drivers Using Convolutional Neural Network.

Autor: Mercado Reyna, Jaime, Luna-Garcia, Huizilopoztli, Espino-Salinas, Carlos H., Celaya-Padilla, José M., Gamboa-Rosales, Hamurabi, Galván-Tejada, Jorge I., Galván-Tejada, Carlos E., Solís Robles, Roberto, Rondon, David, Villalba-Condori, Klinge Orlando

Publikováno v: Applied Sciences (2076-3417); May2023, Vol. 13 Issue 10, p5882, 18p

Arginine Vasopressin Enhances Sympathetic Constriction Through the V1 Vasopressin Receptor in Human Saphenous Vein

Autor: Medina Bessó, Pascual, Acuña Torre, Antonio, Martínez León, Juan Bautista, Otero, Eduardo, Vila Salinas, José María, Aldasoro Celaya, Martín, Lluch López, Salvador

Publikováno v: MEDINA BESSO, Pascual ; Acuña Torre, Antonio ; Martinez Leon, Juan Baustista ; Otero, Eduardo ; Vila Salinas, José M ; Aldasoro Celaya, Martin ; Lluch Lopez, Salvador, 1998, Arginine Vasopressin Enhances Sympathetic Constriction Through the V1 Vasopressin Receptor in Human Saphenous Vein, Circulation, vol. 97, no. 9, p. 865-870
RODERIC. Repositorio Institucional de la Universitat de Valéncia
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Background—Arginine vasopressin (AVP) not only acts directly on blood vessels through V1 receptor stimulation but also may modulate adrenergic-mediated responses in animal experiments in vivo and in vitro. The aim of the present study was to invest

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2daeae9613aaedcdd5433f2a8b6d8978
http://hdl.handle.net/10550/20055