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Updated: Jan 12, 2026

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

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

Published on: July 24, 2019

Artificial intelligence for precision medicine.

Marie-Elise Martel¹, Adan José-Garcia², Celine Vens³

¹U1286 - Infinite - Institute for Translational Research in Inflammation, Inserm, Université de Lille, CHU de Lille, 59000 Lille, France; Département de médecine interne et immunologie clinique, centre de référence des maladies auto-immunes systémiques rares du nord et nord-ouest, Méditerranée et Guadeloupe (CeRAINOM), CHU de Lille, 59000 Lille, France.

|October 30, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing precision medicine by enabling personalized healthcare through advanced data analysis. This review explores AI

Keywords:

Artificial intelligence Healthcare Precision medicine Review

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

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Area of Science:

Biomedical Informatics
Artificial Intelligence in Healthcare
Precision Medicine

Background:

Precision medicine tailors healthcare using individual patient data.
Artificial intelligence (AI) and big data analytics accelerate personalized care.
AI technologies analyze complex biomedical datasets for individualized treatment.

Purpose of the Study:

Provide an overview of AI principles for healthcare professionals.
Explore practical AI applications in precision medicine.
Discuss limitations and ethical considerations of AI in healthcare.

Main Methods:

Narrative review of AI in precision medicine.
Exploration of AI's role in diagnosis, treatment, and prevention.
Discussion of real-world examples and challenges.

Main Results:

AI enhances early diagnosis and treatment selection.
AI supports disease prevention and therapeutic interventions.
Identified challenges include ethics, bias, privacy, and implementation barriers.

Conclusions:

AI offers powerful tools for precision medicine.
Healthcare professionals need to understand AI's capabilities and limitations.
Responsible and efficient clinical implementation of AI is crucial.