Geriatrics

Geo-Mamba: Geometry-informed state-space learning of functional brain organization.

Functional magnetic resonance imaging (fMRI) derived functional connectivity (FC) is represented as graphs and as correlation or covariance matrices that live on non-Euclidean spaces, cortical graphs and the Riemannian manifold of symmetric positive-definite (SPD) matrices, thus conventional Euclidean sequence models are misspecified. To this end, we introduce Geo-Mamba, a geometric variant of Mam...

A novel multi-stage attack dataset for smart home intrusion detection.

Modern homes are increasingly relying on networks of internet-connected devices for smart home applications. Unlike an enterprise network, such smart home networks typically tend to have lax cybersecurity protocols in place and are prone to cyber-attacks. Attack patterns have also evolved over time, with multi-stage attacks being more difficult to detect and mitigate. This article presents a novel...

Evaluating AI in leukocyte classification: performance of the AI system against 15 morphology experts.

Artificial intelligence (AI)-based digital morphology analyzers are vital for clinical hematology but face critical challenges in identifying immature...

Application of machine learning in osteoporosis screening: a narrative review.

Machine learning has the potential to address limitations of traditional osteoporosis screening through advanced data processing and pattern recogniti...

Deep learning-based automated masseter muscle area on routine CT stratifies survival in oral cancer.

OBJECTIVES: To develop and validate a deep learning model for automated masseter muscle segmentation on routine head and neck CT and to evaluate wheth...

Association between the monocyte-to-lymphocyte ratio and 28-day all-cause mortality in sepsis-associated delirium patients: a retrospective study and machine learning.

ProtFI, an efficient frailty-trained proteomics-based biomarker of aging, robustly predicts age-related decline.

Many molecular aging biomarkers have been developed to capture heterogeneity in individual aging rates. Yet, systematic comparison of the modeling cho...

Radiographic evaluation of the psoas and iliopsoas muscle as predictors for spinal cord ischemia after fenestrated and branched endovascular aortic repair.

OBJECTIVE: This study aimed to investigate the association between sarcopenia and spinal cord ischemia (SCI) after fenestrated and branched endovascul...

Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approach.

Accurate, fast, and interpretable fault identification on electrical transmission lines is essential for maintaining power system stability and reduci...

Facilitators and barriers of research engagement in a large teaching hospital in the Netherlands: a narrative reflection.

BACKGROUND: Healthcare organisations are facing major challenges, including workforce shortages, rising costs, and an aging population. Research engag...

Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality.

OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing field, but quality and clinical utility of existing...

Dual-model deep learning for Alzheimer's prognostication.

Disease-modifying therapies for Alzheimer's disease demand precise timing decisions, yet current predictive models require longitudinal clinical obser...

Vocal Age Gap as a Noninvasive Biomarker for Early Detection of Laryngeal Cancer Using Deep Learning.

OBJECTIVES: Early vocal changes such as hoarseness or voice fatigue are common and often attributed to normal aging or benign conditions, which can de...

Comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems.

BACKGROUND: Deaf individuals often face communication challenges when interacting with those who can hear. Within health care settings, these challeng...

Quinoa bioester application shifts human skin proteome toward molecular profiles associated with younger age.

Skin aging involves complex molecular changes that current strategies struggle to reverse. Here, we developed a machine learning approach using Suppor...

Identification and experimental validation of aging-related biomarkers in intervertebral disc degeneration.

Intervertebral disc degeneration (IDD) is a prevalent disease with an increasing incidence, and aging is a key risk factor for its progression. Theref...

Predicting Osteoporosis Risk from Knee Radiographs and Clinical Features through Deep Learning: A Multimodal Approach.

BACKGROUND: Osteoporosis is a prevalent skeletal disease with high morbidity rates in developing countries due to limited access to gold-standard dual...

Assessing racial disparities in dementia-related vulnerabilities: a machine learning analysis of social, environmental, and climate factors.

INTRODUCTION: Racial differences in exposure to area-level social determinants of health (SDoH) may contribute to distinct vulnerability profiles amon...

Predicting dairy cattle PL via longitudinal rumen microbiome dynamics using machine learning approaches.

Aging is a spontaneous biological process involving intricate regulatory mechanisms over time. Studies in mice and humans indicate that the gut microb...