Characterization of language abilities and semantic networks in very preterm children at school-age.

It has been widely assessed that very preterm children (<32 weeks gestational age) present language and memory impairments compared with full-term children. However, differences in their underlying semantic memory structure have not been studied yet. Nevertheless, the way concepts are learned and organized across development relates to children's capacities in retrieving and using information later.

Iron-associated lipid peroxidation in Alzheimer's disease is increased in lipid rafts with decreased ferroptosis suppressors, tested by chelation in mice.

Introduction: Iron-mediated cell death (ferroptosis) is a proposed mechanism of Alzheimer's disease (AD) pathology. While iron is essential for basic biological functions, its reactivity generates oxidants which contribute to cell damage and death.

Methods: To further resolve mechanisms of iron-mediated toxicity in AD, we analyzed post mortem human brain and ApoEFAD mice.

Healthcare use in 12-18-year-old adolescents vaccinated against SARS-CoV-2 versus unvaccinated in a national register-based Danish cohort.

Healthcare use among adolescents after vaccination against SARS-CoV-2 is unknown. In a real-life register-based cohort study (trial NCT04786353), healthcare use was compared among Pfizer-BioNTech BNT162b2 COVID-19 vaccinated and unvaccinated 12-18-year-olds. First-dose-vaccinated (between 1 May and 30 September 2021) adolescents were sex and age matched 1:1 with unvaccinated adolescents.

Long-term incidence of implantable cardioverter-defibrillator therapy in patients with hypertrophic cardiomyopathy: analysis of appropriate and inappropriate interventions.

Background: Treatment with implantable cardioverter-defibrillators (ICDs) effectively prevents sudden cardiac death (SCD) in patients with hypertrophic cardiomyopathy (HCM). Identifying patients most likely to benefit from a primary prevention ICD remains challenging. We aimed to investigate the long-term incidence of ICD therapy in patients with HCM according to SCD-risk at baseline.

Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation.

We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound using actionable concepts as feedback to end-users, using a prospective cross-center, multi-level approach. We developed, implemented, and tested a deep-learning model for fetal growth scans using both retrospective and prospective data. We used a modified Progressive Concept Bottleneck Model with pre-established clinical concepts as explanations (feedback on image optimization and presence of anatomical landmarks) as well as segmentations (outlining anatomical landmarks).