Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Juan Miguel López"'
Autor:
Pedram Ghorbanzade, Arianna Pesce, Michel Armand, Kerman Gómez, Shanmukaraj Devaraj, Pedro López‐Aranguren, Juan Miguel López del Amo
Publikováno v:
Small Structures, Vol 5, Iss 10, Pp n/a-n/a (2024)
Li6PS5Cl (LPSCl) argyrodites offer high room temperature ionic conductivity (>1 mS cm−1) and are among the most promising solid electrolytes. However, their chemical instability against Li metal compromises the long‐term cyclability. Using PEO‐
Externí odkaz:
https://doaj.org/article/526d814a81164760b3c27447262963bb
Autor:
Francisca Sivera, Victoria Núñez-Monje, Cristina Campos-Fernández, Isabel Balaguer-Trull, Montserrat Robustillo-Villarino, Marta Aguilar-Zamora, Marta Garijo-Bufort, Juan Miguel López-Gómez, Carolina Peña-González, Isabel de la Morena, Diego Bedoya-Sanchís, Liliya Yankova-Komsalova, Arantxa Conesa-Mateos, Anna Martínez-Cristóbal, Francisco Javier Navarro-Blasco, José Miguel Senabre-Gallego, Juan José Alegre-Sancho
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/b666c0b8016344db828150ed8a396ad3
Autor:
Francisca Sivera, Victoria Núñez-Monje, Cristina Campos-Fernández, Isabel Balaguer-Trull, Montserrat Robustillo-Villarino, Marta Aguilar-Zamora, Marta Garijo-Bufort, Juan Miguel López-Gómez, Carolina Peña-González, Isabel de la Morena, Diego Bedoya-Sanchís, Liliya Yankova-Komsalova, Arantxa Conesa-Mateos, Anna Martínez-Cristóbal, Francisco Javier Navarro-Blasco, José Miguel Senabre-Gallego, Juan José Alegre-Sancho
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundSecukinumab is a biologic disease-modifying antirheumatic drug (bDMARD) that has demonstrated efficacy in the treatment of axial spondyloarthritis (axSpA, i.e., ankylosing spondylitis and non-radiographic axSpA) across various clinical tria
Externí odkaz:
https://doaj.org/article/9a3bf1cebdbb4988b66a96731004b8e1
Background: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being crucial for improving patient outcomes. Current diagnostic methods are often invasive, costly, and inaccessible to many populations. Electrocardiogram (
Externí odkaz:
http://arxiv.org/abs/2412.07737
Background: Liver diseases are a major global health concern, often diagnosed using resource-intensive methods. Electrocardiogram (ECG) data, widely accessible and non-invasive, offers potential as a diagnostic tool for liver diseases, leveraging the
Externí odkaz:
http://arxiv.org/abs/2412.03717
Background: Laboratory values are fundamental to medical diagnosis and management, but acquiring these values can be costly, invasive, and time-consuming. While electrocardiogram (ECG) patterns have been linked to certain laboratory abnormalities, th
Externí odkaz:
http://arxiv.org/abs/2411.14886
Introduction: Ensuring timely and accurate diagnosis of medical conditions is paramount for effective patient care. Electrocardiogram (ECG) signals are fundamental for evaluating a patient's cardiac health and are readily available. Despite this, lit
Externí odkaz:
http://arxiv.org/abs/2408.17329
Introduction: Laboratory value represents a cornerstone of medical diagnostics, but suffers from slow turnaround times, and high costs and only provides information about a single point in time. The continuous estimation of laboratory values from non
Externí odkaz:
http://arxiv.org/abs/2407.18629
Background: A clinically meaningful comparative assessment of medical decision support in emergency care is challenging due to a lack of appropriate datasets with multimodal input modalities and comprehensive prediction task. This hampers measurable
Externí odkaz:
http://arxiv.org/abs/2407.17856
Despite the excelling performance of machine learning models, understanding the decisions of machine learning models remains a long-standing goal. While commonly used attribution methods in explainable AI attempt to address this issue, they typically
Externí odkaz:
http://arxiv.org/abs/2405.15871