A Pilot Study on Younger On-set Dementia Detection Using Machine Learning and the Impact of a 12-week Home-Based Exercise Program for Enhancing Motor Function in Younger On-set Dementia

This study aims to address two main objectives: 1- Designing a multimodal machine learning model capable of detecting YOD and identifying biomarkers associated with YOD. 2- Developing a 12-week individualised exercise program and assessing its effects on dementia motor function and the identified biomarkers.