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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

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Published on: July 24, 2019

Personalized Health.

Dimitrios G Katehakis¹, Maria Makridaki¹, Apostolos Dimitriadis¹

¹Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH-ICS).

Studies in Health Technology and Informatics

|February 23, 2026

Summary

Personalized health tailors medical care to individual characteristics, shifting from a one-size-fits-all approach. This promotes proactive wellness, early disease detection, and customized interventions for better health outcomes.

Keywords:

Biomarkers Digital Health Genomics Health Informatics Precision Medicine Predictive Analytics Preventative Health Tailored Treatments

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Area of Science:

Personalized health
Precision medicine
Preventative healthcare

Background:

Traditional healthcare often uses a one-size-fits-all model.
A shift towards patient-centered care is emerging.
Personalized health aims to address individual variability.

Purpose of the Study:

To outline the principles and benefits of personalized health.
To highlight its role in disease prevention and early detection.
To discuss the integration of personalized health into mainstream healthcare.

Main Methods:

Integration of diverse data sources (e.g., genomics).
Utilization of advanced technologies for analysis and application.
Development of individualized health plans and targeted interventions.

Main Results:

More precise, predictive, and preventative healthcare delivery.
Enhanced patient engagement, well-being, and reduced disease risk.
Potential for more effective treatment strategies.

Conclusions:

Personalized health offers a more effective and individualized approach to healthcare.
Technological advancements and supportive policies are key to its adoption.
Addressing security and ethical considerations is crucial for successful integration.