Frailty Care

Frailty care research focuses on improving the assessment and management of age-related decline, aiming to enhance the quality of life and independence for older adults. Current research employs diverse approaches, including machine learning models (e.g., deep neural networks, tree-boosting algorithms) to predict frailty risk, analyze physiological data (e.g., handwriting, sound, images), and optimize resource allocation in healthcare settings. These advancements hold significant promise for earlier frailty detection, personalized interventions, and more efficient healthcare resource management, ultimately impacting both clinical practice and public health strategies for an aging population.