Breast radiotherapy planning: A decision-making framework using deep learning.

Background: Effective breast cancer treatment planning requires balancing tumor control while minimizing radiation exposure to healthy tissues. Choosing between intensity-modulated radiation therapy (IMRT) and three-dimensional conformal radiation therapy (3D-CRT) remains pivotal, influenced by patient anatomy and dosimetric constraints.

Purpose: This study aims to develop a decision-making framework utilizing deep learning to predict dose distributions, aiding in the selection of optimal treatment techniques.

Bisphosphonate drug holidays in osteoporosis according to fracture risk profile.

Unlabelled: We analyzed the incidence of fractures and changes in bone mineral density and bone turnover markers in 264 patients who discontinued bisphosphonates. Fractures were recorded in 12.3%.

BRIVA-ONE study: 12-month outcomes of brivaracetam monotherapy in clinical practice.

Objective: This study investigated the effectiveness and tolerability of brivaracetam (BRV) monotherapy in a large series of patients with epilepsy.

Method: This was a multicenter, retrospective, observational, non-interventional study in 24 hospitals across Spain. Patients aged ≥18 years who started on BRV monotherapy, either as first-line or following conversion, at least 1 year before database closure were included.

Comparing temporal changes and predictors of different types of mental health and socio-emotional wellbeing outcomes during COVID-19: an overlapping panel study of Spanish residents.

Objectives: Few panel studies have investigated how different types of mental health (MH) and socio-emotional wellbeing (SEW) outcomes have changed during the pandemic and if their burden has been equally distributed at the population-level. We aimed to examine temporal changes in these outcomes and their socio-ecological predictors using panel data.

Study Design: Longitudinal population-based survey with overlapping panels.

Air pollution and children's mental health in rural areas: compositional spatio-temporal model.

Air pollution stands as an environmental risk to child mental health, with proven relationships hitherto observed only in urban areas. Understanding the impact of pollution in rural settings is equally crucial. The novelty of this article lies in the study of the relationship between air pollution and behavioural and developmental disorders, attention deficit hyperactivity disorder (ADHD), anxiety, and eating disorders in children below 15 living in a rural area.