Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor symptoms, including gait impairments, which significantly affect patient mobility and quality of life. An accurate assessment of the severity of PD is crucial for clinica...
Recently, the integration of smartphone-based platforms into biomedical sensing has provided portable, low-cost, and scalable alternatives to conventional laboratory diagnostics. According to the advances in mobile imaging, embedded sensors, microflu...
In modern precision agriculture, early and accurate identification of crop diseases is crucial for reducing yield loss and minimizing pesticide overuse. This study proposes an IoT-enabled framework that integrates convolutional neural networks (CNNs)...
BACKGROUND: Experiences of unfair treatment on college campuses are linked to adverse mental and physical health outcomes, highlighting the need for interventions. However, detecting such experiences relies mainly on self-reports. No prior research h...
Lateral flow immunoassays (LFIAs) are widely used point-of-care (POC) diagnostic tools, but their limited sensitivity can hinder reliable diagnoses. To address this limitation, we developed a novel POC diagnostic platform for the highly sensitive det...
BACKGROUND: Exercise guidelines for older adults are predominantly "one-size-fits-all," primarily focusing on aerobic activity with limited emphasis on motor components.
Inventory management for emergency carts is one of the routine tasks in hospitals. It is highly desirable to simplify the workflow of the inventory task since healthcare staffs always work under high pressure and heavy workload. In this study, we exp...
Owing to the severe environmental and health issues posed by organophosphorus pesticides (OPs), a dual-enzyme cascade biosensing platform based on manganese dioxide (MnO) and CRISPR/Cas12a was developed in this study. Smartphones were innovatively in...
The increased popularity of smartphone-based human activity recognition (HAR) in recent decades has been driven by its low computational requirements and user privacy protection. Yet, developing a reliable smartphone-based HAR still presents several ...
Sweat, a biofluid rich in various biomarkers, offers significant potential for non-invasive health monitoring and disease screening. Colorimetric detection is well-suited for multi-analyte quantification and point-of-care testing in sweat analysis, w...
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