BMJ Open

Associations of functional foods consumption with gastrointestinal and musculoskeletal conditions: a cross-sectional study among Bangladeshi adults

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...
Heart

Impact of cerebral oxygen saturation on mortality and rehospitalisation in patients with heart failure and the role of physical activity as a modifying factor: the HARVES…

Background The cross-sectional association between cerebral tissue oxygen saturation (SctO2) and heart failure (HF) has been ...
BMJ

Prevalence and correlates of depressive symptoms among prisoners in Kaliti Federal Prison in Ethiopia: a facility based cross-sectional study

Objective This study intended to examine the prevalence and correlates of depressive symptoms among inmates in Kaliti Prison Centre, Addis Ababa, Ethiopia. Methods A facility-based cross-sectional ...
Scientific Research Publishing

Fan, Z.J., Wang, Z.J., Li, C., et al. (2022) Interpretation and Evaluation of Chinese Guideline for Diagnosis and Treatment of Osteoarthritis (2021 Edition). Chinese Journal of ...

ABSTRACT: Objective: To investigate the status of exposure, reading, trust, and utilization of traditional Chinese medicine (TCM) health culture knowledge among patients with primary knee ...
BMJ

Exercise based cardiac rehabilitation for atrial fibrillation: Cochrane systematic review, meta-analysis, meta-regression and trial sequential analysis

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
BioTechniques

Now you see me: machine learning model makes spectra clearer

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...
EurekAlert!

Light-based data made clearer with new machine learning method

HOUSTON – (April 28, 2025) – Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the “light signatures,” or optical spectra, of molecules, ...