Geriatrics

Species identification of animal glue adhesives on polychrome cultural heritage: an integrated analytical approach combining gel sampling, ATR-FTIR spectroscopy, and machine learning.

The accurate identification of protein adhesive sources in polychrome relics is critical for their conservation. Conventional infrared spectroscopy faces limitations in the cross-species discrimination of such adhesives. To address this, we developed a high-resolution analytical system integrating attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR) with multidimensional ...

Post-operative delirium risk estimation and assessment with machine learning: development and validation of the Open-DREAM Model: A peri-operative dataset analysis.

BACKGROUND: Postoperative delirium (POD) is a common and serious complication in older surgical patients, associated with increased morbidity, prolonged hospitalisation and increased healthcare costs. Existing predictive models have limited clinical adoption due to implementation costs, suboptimal accuracy and poor generalisability. OBJECTIVES: To develop an open-access, interpretable machine lear...

Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review.

BACKGROUND: Social determinants of health (SDOH) are the social, economic, and environmental conditions that influence health outcomes. SDOH informati...

Face aging rate quantifies change in biological age to predict cancer outcomes.

Chronological age predicts cancer survival but does not capture differences in biological aging rates. We apply FaceAge, an artificial intelligence al...

An interpretable machine learning model predicts frailty risk in middle-aged and older adults with gastrointestinal disease: a longitudinal study.

Performance evaluation of large language models in real-world perinatal medication consultations: a cross-sectional study.

INTRODUCTION: Perinatal medication consultation is a core clinical pharmacy service that involves a complex benefit-risk assessment for both maternal ...

Exploration of ferroptosis-related biomarkers and regulatory mechanisms in two diseases (sarcopenia and idiopathic pulmonary fibrosis) based on transcriptome and machine learning.

BACKGROUND: Sarcopenia (SP) and idiopathic pulmonary fibrosis (IPF) are debilitating diseases, but share ferroptosis-related biomarkers and their regu...

Realization of Long Axial Field-of-View PET Technology in the Clinic and Research Environment.

Long axial field-of-view (AFOV) PET-CT instruments have significantly higher sensitivity than conventional PET scanners allowing for reduced scan time...

AI in Point-of-Care Imaging for Clinical Decision Support: Systematic Review of Diagnostic Accuracy, Task-Shifting, and Explainability.

BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited speci...

DDA-BERT: end-to-end training for data-dependent acquisition mass spectrometry-based proteomics.

Peptide-spectrum match (PSM) rescoring is critical for accurate peptide identification in data-dependent acquisition (DDA)-based proteomics. Existing ...

Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.

Alzheimer's disease neuropathological changes (ADNC)-operationalized with semi-quantitative parameters-represent the consensus-based gold standard for...

Emerging multidimensional biomarker system for cardiovascular-kidney-metabolic syndrome: from multi-omics integration to clinical artificial intelligence.

Cardiovascular-kidney-metabolic (CKM) syndrome is an emerging clinical entity that highlights the complex, bidirectional interplay among cardiovascula...

AI-assisted versus fully automated volumetry for hemorrhage quantification in spontaneous ICH with ventricular extension: A multi-center study.

BACKGROUND: Spontaneous intracerebral hemorrhage (sICH) with intraventricular hemorrhage (IVH) extension is a neurological emergency associated with h...

Dementia screening with the Rivermead Behavioural Memory Test: A machine learning analysis.

BackgroundWith the advent of anti-amyloid-β monoclonal antibody therapies and the growing societal burden of dementia, early identification of Alzheim...

Brain PET in the era of anti-amyloid-β antibody therapy for Alzheimer disease.

Here the current and emerging roles of brain positron emission tomography (PET) in Alzheimer's disease (AD) in the era of anti-amyloid-β antibody ther...

Adaptive neighborhood aggregation graph neural network for early diagnosis of Alzheimer's disease.

Early diagnosis of Alzheimer's disease (AD) is crucial for timely intervention but remains challenging due to subtle and heterogeneous brain alteratio...

A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.

Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (bvFTD) including gray matter volume (GMV) similarit...

Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals.

Machine learning can unravel heterogeneous patterns of brain aging and neurodegeneration, but existing methods offer limited insights into disease pro...

MMP9 as a shared immune-related gene in Alzheimer's and Huntington's diseases: a cross-tissue transcriptomic analysis.

Alzheimer's disease (AD) and Huntington's disease (HD) share neuroinflammatory mechanisms, yet their specific immune microenvironments remain poorly u...

Causal ordinal connections based characterization of weighted effective brain network for schizophrenia detection.

The human brain is responsible for a wide range of a person's behavioral and cognitive capabilities. The functionality of the brain is affected by var...