Related Experiment Video
Updated: Jan 1, 2026

10:28
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
15.9K
Biomarker Application for Precision Medicine in Stroke.
Alexis N Simpkins1, Miroslaw Janowski2, Helieh S Oz3
1Department of Anesthesiology, University of Florida, Gainesville, FL, USA.
Translational Stroke Research
|December 19, 2019
Summary
Future biomarker studies can improve stroke treatment by supporting precision medicine. Designing effective stroke biomarkers requires considering individual patient factors for personalized therapies.
Area of Science:
- Neurology
- Biomarker Research
- Precision Medicine
Background:
- Stroke is a leading cause of disability and mortality globally.
- Significant challenges exist in developing effective stroke therapeutics due to stroke heterogeneity.
- Individualized factors like etiology, comorbidities, and lifestyle impact stroke recovery.
Purpose of the Study:
- To propose designing future biomarker studies for precision medicine interventions post-stroke.
- To highlight challenges in defining ideal stroke biomarkers.
- To provide an example of biomarker design for aneurysmal subarachnoid hemorrhage.
Main Methods:
- Comprehensive review of current literature and clinical trials.
- Analysis of challenges in biomarker identification for stroke.
- Discussion of emerging technologies like -omics, neuroimaging, and big data.
Main Results:
- Stroke heterogeneity presents a major hurdle for developing universal treatments.
- Current biomarker studies need to account for disease course, age, lifestyle, and stroke subtypes.
- Advancements in -omics, neuroimaging, and big data offer new avenues for biomarker discovery.
Conclusions:
- Well-designed stroke biomarker trials are crucial for advancing precision medicine.
- Personalized therapeutic interventions can be supported by robust biomarker strategies.
- Future research should focus on integrating multi-omics, imaging, and clinical data for stroke management.

