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Artificial Intelligence and Machine Learning: An Updated Systematic Review of Their Role in Obstetrics and Midwifery.
Cureus
March 2025
Department of Midwifery, Faculty of Health and Caring Sciences, University of West Attica, Athens, GRC.
Artificial intelligence (AI) and machine learning (ML) are rapidly evolving technologies with significant implications in obstetrics and midwifery. This systematic review aims to evaluate the latest advancements in AI and ML applications in obstetrics and midwifery. A search was conducted in three electronic databases (PubMed, Scopus, and Web of Science) for studies published between January 1, 2022, and February 20, 2025, using keywords related to AI, ML, obstetrics, and midwifery.
View Article and Find Full Text PDFQuality of life in heart failure. The heart of the matter. A scientific statement of the Heart Failure Association and the European Association of Preventive Cardiology of the European Society of Cardiology.
Eur J Prev Cardiol
March 2025
Clinical Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Via Morandi 30, Milan 20097, Italy.
For most patients with chronic, progressive illnesses, maintaining good quality of life (QoL), with preserved functional capacity, is just as crucial as prolonging survival. Patients with heart failure (HF) experience much worse QoL and effort intolerance than both the general population and people with other chronic conditions, since they present a range of physical and psychological symptoms, including shortness of breath, chest discomfort, fatigue, fluid congestion, trouble with sleeping, and depression. These symptoms reduce patients' capacity for daily social and physical activity.
View Article and Find Full Text PDFEvaluating Perinatal Health in Europe: A Comparison of Routine Population Birth Data Sources.
Paediatr Perinat Epidemiol
March 2025
Obstetrical Perinatal and Pediatric Epidemiology, Université Paris Cité, Inserm, Paris, France.
Background: International comparisons of population birth data provide essential benchmarks for evaluating perinatal health policies.
Objectives: This study aimed to describe routine national data sources in Europe by their ability to provide core perinatal health indicators.
Methods: The Euro-Peristat Network collected routine national data on a recommended set of core indicators from 2015 to 2021 using a federated protocol based on a common data model with 16 data items.
Integrative analysis of gene expression and chromatin dynamics multi-omics data in mouse models of bleomycin-induced lung fibrosis.
Epigenetics Chromatin
March 2025
State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Organ Fibrosis, Pingyuan Laboratory, College of Life Science, Henan Normal University, 46 Jianshe Road, Xinxiang, Henan, 453007, China.
Background: Pulmonary fibrosis is a relentless and ultimately fatal lung disorder. Despite a wealth of research, the intricate molecular pathways that contribute to the onset of PF, especially the aspects related to epigenetic modifications and chromatin dynamics, continue to be elusive and not fully understood.
Methods: Utilizing a bleomycin-induced pulmonary fibrosis model, we conducted a comprehensive analysis of the interplay between chromatin structure, chromatin accessibility, gene expression patterns, and cellular heterogeneity.
A new data-driven paradigm for the study of avian migratory navigation.
Mov Ecol
March 2025
Department of Geography and Environment, Centre for Animals on the Move, Western University, London, ON, Canada.
Avian navigation has fascinated researchers for many years. Yet, despite a vast amount of literature on the topic it remains a mystery how birds are able to find their way across long distances while relying only on cues available locally and reacting to those cues on the fly. Navigation is multi-modal, in that birds may use different cues at different times as a response to environmental conditions they find themselves in.
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