Geriatrics

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model.

Metamaterials for light manipulation at subwavelength scales face significant design challenges due to their complex and sophisticated structures, leading to the emergence of deep learning as a powerful tool to streamline their design process. However, existing deep learning-based inverse design methods fall short in the design of reconfigurable metamaterials (RMMs), whose optical characteristics ...

Perspective: The Future of Peritoneal Dialysis in the Era of Telemedicine and Artificial Intelligence.

Peritoneal dialysis (PD) represents one of the major modalities for home-based renal replacement therapy, offering autonomy and flexibility to patients with end-stage kidney disease. Despite its advantages, global uptake of PD remains low, limited by concerns regarding patient safety, complications, and the absence of continuous medical oversight. Telemedicine and artificial intelligence (AI) are ...

NRP1 silencing induces ROS-mediated cell cycle arrest and mitochondrial apoptosis in non-small cell lung cancer via upregulation of AGER.

OBJECTIVE: The specific role of Neuropilin-1 (NRP1) and its link to oxidative stress in Non-Small Cell Lung Cancer (NSCLC) progression remains unclear...

Thrombus imaging features influencing the choice of first-line thrombectomy strategy: an international survey of neurointerventionists.

INTRODUCTION: Endovascular thrombectomy (EVT) is the standard of care for large vessel occlusion stroke, but the optimal first-line strategy remains d...

Critical Care-Specific vs General-Purpose Large Language Models in Emergency Intensive Care Unit Diagnosis: Single-Center Retrospective Paired Comparative Study.

BACKGROUND: The emergency intensive care unit (EICU) manages the most critically ill patients, where rapid and accurate diagnosis is essential yet cha...

A Novel Machine Learning-Based Semi-Automated Phantom-Less QCT Model for Osteoporosis Screening on 100 kVp Ultra-Low-Dose Chest CT: A Phantom Study.

RATIONALE AND OBJECTIVES: Opportunistic osteoporosis screening using chest CT is increasingly explored, yet conventional QCT models are calibrated at ...

Integration of the circulating miRNome and clinical information to predict 90-day mortality in elderly COVID-19 subphenotypes.

Elderly patients with coronavirus disease 2019 (COVID-19) exhibit high mortality rates. We assessed whether microRNA (miRNA) profiling provides progno...

Deep learning for imaging-free voids detection by ultrasonic data: bridging numerical data and model experiments.

Non-destructive testing (NDT) based on ultrasonics is widely used for internal defect detection. To enhance the efficiency of defect detection, Deep L...

Accelerated Biological Age as an Early Pregnancy Risk Factor for Preeclampsia.

BACKGROUND: The inability to predict risk in early pregnancy for preeclampsia represents a major limitation in prenatal care. OBJECTIVES: We used mach...

Rational drug design for Alzheimer's disease: from approved therapies to next-generation clinical candidates and AI-guided innovation.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by multifactorial pathology, including amyloid-β (Aβ) aggregation, ...

Spatial-Spectral Fusion Enables Drug Repositioning by Capturing Indirect and Long-Range Associations in Biological Networks.

MOTIVATION: Drug repositioning accelerates clinical translation by identifying new therapeutic indications for approved drugs. However, therapeutic as...

Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study.

BACKGROUND: Health care systems generate vast amounts of unstructured text, such as clinical notes, which capture nuanced patient experiences, clinica...

Patterns of Engagement With an AI Conversational Agent for Mental Health and Associations With Anxiety and Depression: Cross-Sectional Study.

BACKGROUND: Digital mental health interventions using conversational AI agents are increasingly being adopted as scalable alternatives to traditional ...

Integrative machine learning reveals telomere-associated gene modules reflecting neuronal dysregulation in Alzheimer's disease.

BackgroundTelomere dysfunction contributes to cellular aging and genome instability, but telomere-associated transcription in Alzheimer's disease (AD)...

Quantifying generalization error in machine learning prediction of cognitive decline.

BACKGROUND: Predicting cognitive decline as a continuum, from healthy age-related decline to mild cognitive impairment and dementia, enables more prec...

[Diagnostic efficacy and teaching value of artificial intelligence-assisted diagnostic systems in cervical liquid-based cytology screening].

Objective: To systematically evaluate the diagnostic performance of an artificial intelligence (AI)-assisted diagnostic system in identifying squamous...

The neurologist of 2050: Rethinking the role in movement disorders in a technologically transformed society.

INTRODUCTION: Artificial intelligence (AI), digital health technologies, and neuroengineering are rapidly transforming the diagnosis and management of...

Machine Learning Characterization of Readmissions After Chronic Subdural Hematoma Hospitalizations.

BACKGROUND AND OBJECTIVES: Readmission after chronic or subacute subdural hematoma (cSDH/sSDH) hospitalization is common, yet clinical attention and t...

A β-TCP/PMMA composite bone cement promotes osteogenic differentiation of osteoporotic rBMSCs via Wnt/β-catenin pathway.

Osteoporosis-induced bone defects represent a severe clinical challenge that requires high-performance bone repair biomaterials. To address the limite...

Artificial intelligence-based 3D segmentation of tangle-associated TDP-43 in neurodegeneration.

TAR DNA-binding protein 43 (TDP-43) inclusions are often associated with hyperphosphorylated tau, thus neurofibrillary tangles as the hallmark of Alzh...