A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient.

This dataset comprises information about 1242 lung cancer patients collected by the Medical Oncology Department of the Puerta de Hierro University Hospital of Majadahonda in Madrid, Spain. It includes information about cancer diagnosis and treatment, as well as personal and medical data recorded during anamneses. The dataset could assist in data analysis with the aim of discovering relationships between the applied treatment(s), the evolution of the disease and the associated adverse effects.

Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas.

Structural inequality, the uneven distribution of resources and opportunities, influences health outcomes. However, the biological embedding of structural inequality in aging and dementia, especially among underrepresented populations, is unclear. We examined the association between structural inequality (country-level and state-level Gini indices) and brain volume and connectivity in 2,135 healthy controls, and individuals with Alzheimer's disease and frontotemporal lobe degeneration from Latin America and the United States.

Odds of Metastatic Disease at Diagnosis of Primary Bone and Soft-Tissue Sarcomas of the Extremity and Pelvis Based on Preferred Language and Socioeconomic Factors.

Introduction: The odds of metastatic disease at diagnosis of bone (BS) and soft-tissue sarcomas (STS) of the extremities and pelvis may vary among patients due to several factors. There is limited research comparing the rates of metastatic disease at diagnosis in patients from different demographic and socioeconomic backgrounds.

Methods: Patients with a primary BS or STS of the extremity or pelvis were identified using International Classification of Diseases codes.

Designing and Optimizing Electrode Materials for Energy Harvesting in CAPMIX Cells.

The growing demand for clean, decentralized energy has increased interest in blue energy, which generates power from water with different salt concentrations. Despite its potential as a renewable, low-cost energy source, optimizing electrode materials remains a challenge. This work presents a nanomaterial developed via microwave-assisted sol-gel methodology for blue energy applications, where ion diffusion and charge storage are critical.

Quality of pediatric trauma care: development of an age-adjusted TRISS model and survival benchmarking in a major trauma center.

Background: Pediatric trauma is a major global health concern, accounting for a substantial proportion of deaths and disease burden from age 5 onwards. Effective triage and management are essential in pediatric trauma care, and prediction models such as the Trauma Injury Severity Score (TRISS) play a crucial role in estimating survival probability and guiding quality improvement. However, TRISS does not account for age-specific factors in pediatric populations, limiting its applicability to younger patients.