Latest AI and machine learning research in geriatrics for healthcare professionals.
The classification of immunophenotypes in muscle-invasive bladder cancer (MIBC) is critical for predicting immunotherapy response and clinical outcomes, yet current assessment methods lack standardization and scalability. We developed and validated an artificial intelligence-based MIBC Immunophenotype Diagnostic System using computational pathology to enable reproducible classification from routin...
Chemotherapy-induced cardiotoxicity (CIC) is a leading cause of morbidity in cancer survivors, as conventional surveillance often detects cardiac dysfunction only after significant injury. This review moves beyond summarizing emerging technologies to focus on the end-to-end clinical pipeline-from sensor data to actionable decision-making-for creating a proactive "early-warning" system. We examine ...
IMPORTANCE: Disruptions in the sleep-wake cycle have been reported in the preclinical period of dementia; whether they contribute to dementia predicti...
Studying replicative aging in yeast is a central component of aging research. Recent advances in time-lapse microscopy and microfluidics now enable co...
In the period preceding sleep, humans and other animals display a stereotyped repertoire of behaviors-including hygiene-related activities and prepari...
Deep learning (DL) has shown success in predicting Alzheimer's disease (AD) diagnosis, yet continuous measures such as cognitive assessment remain cri...
Pediatric intestinal obstruction, a critical acute abdomen condition, carries a risk of intestinal necrosis. Decisions for urgent surgery lack standar...
There is a lack of automated pipelines for diagnostic classification of point-of-care tests for neglected tropical diseases. Here, we present an end-t...
Dementia research often suffers from methodological pitfalls such as label-information and subject-information leakages. Leveraging the longitudinal O...
BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) are emerging surrogate markers of insulin resistan...
INTRODUCTION: Spontaneous speech is commonly disrupted in persons with Alzheimer's disease (AD) and/or Alzheimer's clinical syndrome (ACS). Importantl...
INTRODUCTION: Conventional pain management strategies often fall short in addressing the complex needs of older adults with pain. Artificial intellige...
OBJECTIVE: Family caregivers of persons with dementia experience grief as the care recipients' dementia advances. Here, we explore how various interpe...
BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurolog...
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...
The brain age gap (BAG), the difference between magnetic resonance imaging-predicted brain age and chronological age, is a proposed marker of neurobio...
OBJECTIVE: To evaluate the diagnostic performance for coronary stenosis of artificial intelligence (AI)-based CT quantification, manual CT quantificat...
Glycolysis is essential for cellular energy production, making its enzymes attractive antimicrobial targets. Traditional strategies targeting conserve...
BACKGROUND: Individuals with bipolar disorder (BD) are at increased risk for major adverse cardiovascular events. Recent evidence suggests that the di...
Postural stability reflects the integrated function of autonomic, neuromuscular, and postural control systems and deteriorates with aging and reduced ...