Machine learning-driven clinical decision support for low bone mineral density: A web-based prediction model with explainable AI integration.

Background: Low bone mineral density (LBMD), which includes osteopenia and osteoporosis, is associated with substantial health care costs. However, current diagnostic methods for LBMD are limited in terms of accuracy and accessibility. This study aims to develop an interpretable machine learning model for LBMD risk assessment and implement it as a web-based clinical decision support tool.

Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit.

Given the limited capacity to accurately determine the necessity for intubation in intensive care unit settings, this study aimed to develop and externally validate an interpretable machine learning model capable of predicting the need for intubation among ICU patients. Seven widely used machine learning (ML) algorithms were employed to construct the prediction models. Adult patients from the Medical Information Mart for Intensive Care IV database who stayed in the ICU for longer than 24 h were included in the development and internal validation.

The prevalence and associated factors of burnout among undergraduates in a university.

The study aimed to evaluate the prevalence and possible factors associated with burnout (BO) among undergraduates in a university setting in Dali.This cross-sectional study involved students enrolled in different specialties. The method of stratified random sampling was used to conduct the investigation.

Immunogenicity and protective efficacy in monkeys of purified inactivated Vero-cell SARS vaccine.

Background: In 2003, severe acute respiratory syndrome (SARS) resulted in hundreds of infections and deaths globally. We aim to assess immunogenicity and protective efficacy of purified inactivated Vero-cell SARS vaccine in monkeys.

Methods: The cultures of SARS coronavirus (SARS-CoV) BJ-01 strain infected Vero cells were inactivated with beta-propiolactone.

[Immunogenicity analysis of HIV vaccine based on replicating vaccinia virus Tiantan vector].

Objective: To investigate the immunogenicity of HIV vaccine vTKgpe based on Vaccinia Virus Tiantan vector in mice and rabbits.

Methods: Mice were inoculated with HIV vaccine vTKgpe by intramuscular (i.m.