Assessing COVID-19 vaccine effectiveness and risk factors for severe outcomes through machine learning techniques: a real-world data study in Andalusia, Spain
Á Serrano-Ortiz, JL Romero-Cabrera… - Journal of Epidemiology …, 2024 - Springer
Background COVID-19 vaccination has become a pivotal global strategy in managing the
pandemic. Despite COVID-19 no longer being classified as a Public Health Emergency of …
pandemic. Despite COVID-19 no longer being classified as a Public Health Emergency of …
The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
Background Retinitis pigmentosa is the prevailing genetic cause of blindness in developed
nations with no effective treatments. In the pursuit of unraveling the intricate dynamics …
nations with no effective treatments. In the pursuit of unraveling the intricate dynamics …
[HTML][HTML] drexml: A command line tool and Python package for drug repurposing
M Esteban-Medina, VM de la Oliva Roque… - Computational and …, 2024 - Elsevier
We introduce drexml, a command line tool and Python package for rational data-driven drug
repurposing. The package employs machine learning and mechanistic signal transduction …
repurposing. The package employs machine learning and mechanistic signal transduction …
Use of drugs for hypertension or heart failure and the risk of death in COVID-19: association with loop-diuretics
J Fastbom, G Jonasdottir Bergman, J Holm… - European Journal of …, 2024 - Springer
Purpose To study the association between the use of drugs for hypertension or heart failure,
particularly diuretics, and risk of death in COVID-19. Methods We conducted a cohort study …
particularly diuretics, and risk of death in COVID-19. Methods We conducted a cohort study …
Ethical and Secure Evidence Generation from Regionwide Clinical Data through a Collaborative Environment for Advancing Predictive Care
D Muñoyerro-Muñiz, R Villegas, V de la Oliva… - 2024 - researchsquare.com
Background: Data protection is often regarded as a major hurdle in clinical research,
especially when handling sensitive patient information. However, by managing sensitive …
especially when handling sensitive patient information. However, by managing sensitive …
Early prediction of ovarian cancer risk based on real world data
V de la Oliva, A Esteban-Medina, L Alejos… - medRxiv, 2024 - medrxiv.org
This study presents the development of an early prediction model for high-grade serous
ovarian cancer (HGSOC) using real-world data from the Andalusian Health Population …
ovarian cancer (HGSOC) using real-world data from the Andalusian Health Population …