The urgent need to accelerate synthetic data privacy frameworks for medical research.

Synthetic data, generated through artificial intelligence technologies such as generative adversarial networks and latent diffusion models, maintain aggregate patterns and relationships present in the real data the technologies were trained on without exposing individual identities, thereby mitigating re-identification risks. This approach has been gaining traction in biomedical research because of its ability to preserve privacy and enable dataset sharing between organisations. Although the use of synthetic data has become widespread in other domains, such as finance and high-energy physics, use in medical research raises novel issues.

Parent-Reported Outcome Measures for Individuals with Fragile X Syndrome: Clinically Meaningful Change Thresholds.

Estimating meaningful change thresholds (MCT) on clinical outcome assessments is an important consideration when evaluating treatments. In fragile X syndrome (FXS) research, there has been no consensus on how to define MCT's on several commonly used outcome measures. The purpose of the current study was to determine clinically relevant MCT's of caregiver-rated assessments using data from a phase 3 clinical trials of arbaclofen (Berry-Kravis et al.

Perinatal iron deficiency alters the cardiac proteome and mitochondrial function in neonatal offspring.

Iron deficiency (ID) is common during gestation and early infancy and can alter developmental trajectories with lasting consequences on cardiovascular health. Iron plays a critical role in systemic oxygen transport (via hemoglobin) and aerobic respiration (as a component of mitochondrial complexes). Perinatal ID has been shown to cause cardiac dysfunction in neonates, but the mechanisms underlying these changes have not been characterized.

Racial and Ethnic Disparities in the Effects of COVID-19 on Employment Disruption and Financial Precarity.

Previous research shows that minoritized (i.e. Black and Hispanic) older workers are more likely to work in jobs subject to employment disruptions and negative economic outcomes, including job and wage loss.

Dataset for a validated method of non-invasive urine collection using sodium polyacrylate-based diapers for PCR detection of uropathogens.

This dataset provides information from a study that validates a method for non-invasive urine collection utilizing sodium polyacrylate-based diapers, designed for polymerase chain reaction (PCR) detection of uropathogens. The dataset includes samples from 17 participants, comprising seven clinically contrived samples inoculated with known uropathogens and ten samples collected from volunteers wearing sodium polyacrylate-based diapers. The study involved optimizing urine extraction from the diaper matrices, ensuring minimal loss of diagnostic sensitivity for downstream quantitative PCR (qPCR) analysis.