Model to explain dental visit for children aged 0 to 5: Scoping review of birth cohorts.

Introduction: Health services accessibility is a multidimensional concept. An early-life dental visit could improve child dental health. Through birth cohorts, it is possible to identify health conditions and pathways of exposure that occur earlier in life.

Therapeutic Patient Education and Eating Habits: A Challenge in Caries Disease.

Risky dietary behaviors, particularly excessive sugar consumption, significantly contribute to dental caries. Dental practitioners are tasked with detecting and managing these behaviors to effectively treat caries and prevent recurrences. Although dietary assessment tools exist to identify such behaviors, they have limits.

A machine learning model for early diagnosis of type 1 Gaucher disease using real-life data.

Objective: The diagnosis of Gaucher disease (GD) presents a major challenge due to the high variability and low specificity of its clinical characteristics, along with limited physician awareness of the disease's early symptoms. Early and accurate diagnosis is important to enable effective treatment decisions, prevent unnecessary testing, and facilitate genetic counseling. This study aimed to develop a machine learning (ML) model for GD screening and GD early diagnosis based on real-world clinical data using the Maccabi Healthcare Services electronic database, which contains 20 years of longitudinal data on approximately 2.

Five years on: analysis of university lecturers' experiences of the French government's health promotion education program.

Background: The National Health Promotion Intervention Program by Student (HPIPS) is a French government educational program introduced in 2018, aiming at developing all health students' health promotion knowledge and abilities, as well as implementing health promotion interventions for specific subpopulations in the general public. Its pedagogical framework was elaborated in 2018 and then evaluated by the French Council for Public Health in 2022, highlighting certain difficulties for the program to be homogeneously implemented in France. The aim of this study was to explore and describe the experiences and feedback of university lecturers in charge of this HPIPS training.

Energy condensation and dipole alignment in protein dynamics.

The possibility that distant biomolecules in a cell interact via electromagnetic (e.m.) radiation was proposed many years ago to explain the high rate of encounters of partners in some enzymatic reactions.