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Materias / palabras clave: Computer science; Software; Java; Big data; Visualization; Variety (cybernetics); Interface (matter); Application programming interface; Biological data; Data visualization; Data type; Software engineering

ABSTRACT Background and Aims Chronic inflammation contributes to various chronic diseases, emphasizing the need for reliable biomarkers for early detection and understanding its causes. Measuring chronic inflammation pos...

Abstract Multiple drivers of global change are causing rapid biodiversity loss worldwide. However, predicting species’ trajectories remains challenging due to the dynamic and state-dependent nature of ecological respon...

Abstract Background Laboratory results are influenced by presence and severity of disease, as well as preanalytical factors, analytical variation, and biological variation. Biological variation data for urinary protein: ...

Abstract The rapid growth of biological resources and associated research outputs has increased the complexity of resource discovery, access, and reuse across heterogeneous repositories. However, fragmented metadata sche...

Gastropoda, with approximately 80,000 living species, is the largest class of Mollusca. Among gastropods, apple snails (family Ampullariidae) are globally distributed in tropical and subtropical freshwater ecosystems and...

Abstract Background Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder that is linked to cardiovascular, metabolic, and neurocognitive complications. However, its diagnosis relies on polysomnograp...

Abstract Background Single-cell RNA sequencing (scRNA-seq) is considered a revolution in gene expression studies and offers significant benefits across various fields of biomedical or clinical applications. However, a hi...

ABSTRACT This study aimed to estimate genetic parameters for simulated data of body weight (BW), abdominal width (AW), abdominal length (AL), and oviposition. Simulation was performed based on real data collected at apia...

The transition to active rehabilitation in concussion care requires precise tools to identify patients at risk of persistent post-concussive symptoms (PPCS). While machine learning (ML) offers the potential to personaliz...

Abstract Quantum-mechanical simulations provide the most fundamental description of matter, yet their computational cost commonly limits applications to systems containing at most thousands of atoms. Here, we present an ...

Background: Adolescence is a critical period of maturation when nutrient needs are high, especially among adolescents entering pregnancy. Using individual-level data from 140,000 participants, we examined socioeconomic, ...

Abstract Chronological age predicts cancer survival but does not capture differences in biological aging rates. We apply FaceAge, an artificial intelligence algorithm that predicts biological age from a facial photograph...

Background The long-term biological effects of low-level exposure to artificial sweeteners remain debated. We integrated computational toxicology and Mendelian randomization (MR) to explore potential biological responses...

Abstract Background The National Institutes of Health (NIH) Sex as a Biological Variable (SABV) policy aims to improve the rigor and reproducibility of biomedical research by encouraging sex-inclusive study designs and s...

Rapid progress of experimental biology has provided a huge flow of quantitative data, which can be analyzed and understood only through the application of advanced techniques recently developed in theoretical sciences. O...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

Abstract Background As cases of neurosyphilis are rising worldwide – especially in people living with HIV (PLWH) – current data on clinical presentation, diagnostics and management of neurosyphilis in Europe are of h...

Background Acute neurological presentations are common in emergency settings. These are managed with a high rate of misdiagnosis in about one-third of cases. This is the first description of a consultant-led model within...

Implicit learning is a fundamental cognitive process whose identification is critical for understanding human cognition and developing innovative training methodologies. We propose a generalizable feature selection and s...

Abstract Background Adverse events across the lifespan have been linked to poorer health outcomes, but the biological mechanisms remain unclear. The aim of this study was to quantify the independent and joint association...

OBJECTIVE: This study was conducted to compare the medication adherence levels of kidney transplant recipients using different measures. MATERIAL and METHODS: This descriptive, cross-sectional study was carried out wi...

ABSTRACT Background and Aim Evolutionary principles offer critical insights into pandemic dynamics but have been largely overlooked in contemporary responses to COVID‐19. Relaxed natural selection, increased global mob...

Abstract Juvenile idiopathic arthritis (JIA) comprises a heterogeneous group of childhood-onset inflammatory arthritides that remain challenging to treat. An expanding range of biologic and targeted synthetic disease-mod...