Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/bja/aeu345 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
To determine whether tailored interventions based on patients' psychological profiles enhanced the outcomes of interventions in people with nonspecific low back pain, compared to usual care. Intervention systematic review with meta-analysis. Embase, Cochrane, Medline, Web of Science, CINAHL, and PsycINFO were searched from their inception until November 2, 2023.
View Article and Find Full Text PDFAn intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach.
Syst Biol Reprod Med
December 2025
Department of Mathematics and Computer Science, Laboratory of Analysis, Modeling and Simulation, Faculty of Sciences Ben M'sik, Hassan II University of Casablanca, Casablanca, Morocco.
Infertility has emerged as a significant public health concern, with assisted reproductive technology (ART) is a last-resort treatment option. However, ART's efficacy is limited by significant financial cost and physical discomfort. The aim of this study is to build Machine learning (ML) decision-support models to predict the optimal range of embryo numbers to transfer, using data from infertile couples identified through literature reviews.
View Article and Find Full Text PDFUnderstanding Parental Perspectives on Childhood Hearing Impairment and Timely Interventions.
Cureus
January 2025
College of Medicine, Department of Otolaryngology - Head and Neck Surgery, University of Jeddah, Jeddah, SAU.
Objectives: Hearing impairment during childhood is a widespread health issue. Prompt recognition and timely intervention are vital for the advancement of language skills. Insufficient parental knowledge can lead to a delay in diagnosing and treating a condition, which can have a negative impact on academic performance.
View Article and Find Full Text PDFUnsupervised machine learning model for phenogroup-based stratification in acute type A aortic dissection to identify postoperative acute gastrointestinal injury.
Front Cardiovasc Med
January 2025
Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Objective: We aimed to explore the application value of unsupervised machine learning in identifying acute gastrointestinal injury (AGI) after extracorporeal circulation for acute type A aortic dissection (ATAAD).
Methods: Patients who underwent extracorporeal circulation for ATAAD at the First Hospital of Lanzhou University from January 2016 to January 2021 were included. Unsupervised machine learning algorithm was used to stratify patients into different phenogroups according to the similarity of their clinical features and laboratory test results.
Integration of histone modification-based risk signature with drug sensitivity analysis reveals novel therapeutic strategies for lower-grade glioma.
Front Pharmacol
January 2025
Department of Neurological Function Examination, Affiliated Hospital of Hebei University, Baoding, China.
Background: Lower-grade glioma (LGG) exhibits significant heterogeneity in clinical outcomes, and current prognostic markers have limited predictive value. Despite the growing recognition of histone modifications in tumor progression, their role in LGG remains poorly understood. This study aimed to develop a histone modification-based risk signature and investigate its relationship with drug sensitivity to guide personalized treatment strategies.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!