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Personalized Healthcare for Dementia.
Seunghyeon Lee1,2, Eun-Jeong Cho1, Hyo-Bum Kwak1
1Program in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea.
Healthcare (Basel, Switzerland)
|February 2, 2021
Summary
This review covers dementia diagnosis and treatment, highlighting personalized healthcare approaches. It explores diagnostic methods, engineering designs, exercise, and dietary interventions for cognitive health.
Area of Science:
- Gerontology
- Neurology
- Data Science
Background:
- Dementia is a growing global health concern affecting older adults, characterized by cognitive decline.
- Diverse causes and types of dementia necessitate personalized healthcare strategies.
- Aging, genetics, vascular disease, diet, and inactivity are key risk factors.
Purpose of the Study:
- To review current diagnostic approaches for dementia.
- To discuss effective therapeutic interventions for dementia management.
- To explore the role of technology, exercise, and diet in dementia care.
Main Methods:
- Comprehensive review of clinical diagnosis, biomarkers, neuroimaging, and digital biomarkers.
- Analysis of engineering design advancements in monitoring and drug delivery.
- Evaluation of exercise (aerobic, resistance) and dietary (Mediterranean, ketogenic) impacts on cognitive function.
Main Results:
- Advances in data science and wearable devices are enhancing dementia diagnosis.
- Engineering solutions offer new possibilities for dementia monitoring and treatment.
- Specific exercise regimens and diets show promise in managing dementia symptoms and improving cognitive function.
Conclusions:
- Personalized healthcare is crucial for managing the diverse spectrum of dementia.
- Multifaceted approaches combining diagnostics, technological innovation, exercise, and diet are essential for effective dementia care.
- Further research into these areas can lead to improved patient outcomes and quality of life.
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