Day: April 14, 2026

Predictive Geriatrics: Utilizing Wearable Data for Fall Prevention Models

Introduction The aging population is experiencing unprecedented growth globally, placing immense strain on healthcare systems and demanding innovative approaches to improve quality of life.  Falls remain a leading cause of injury and disability, significantly impacting individuals’ independence and placing a considerable burden on caregivers. Traditional fall risk assessments often rely on retrospective data, which can […]