College of Medicine
Wong Lab
Led by Joshua Wong · Neurology
What we study
The Wong Lab uses artificial intelligence to improve deep brain stimulation (DBS) for movement disorders like Parkinson's disease and essential tremor. They focus on developing closed-loop control systems for DBS devices.
What working here is like
- Clinical
- Computational
- Human participants
- No organisms (data only)
- Coding required
- Projects
- 3
- Papers
- 5
Current projects
Dual Lead Thalamic DBR-DBS Interface for Closed Loop Control of Severe Essential Tremor
Developing an AI-driven system to optimize DBS for essential tremor.
One dose fits all? An analysis of the levodopa equivalent dose over time in Parkinson’s disease
The lab uses AI to predict the right levodopa dose for Parkinson’s patients. The student built a Random Forest model using data from 731 patients, reporting a RMSE of 273.39, R² of 0.54, and Pearson correlation of 0.74, and identified key factors like months since diagnosis, weight, and motor scores.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 595
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Beyond Pallidal or Subthalamic Deep Brain Stimulation to Treat Dystonia
The lab reviews studies on new brain targets for deep‑brain stimulation in dystonia patients. It also looks at non‑invasive brain stimulation to understand the disease better.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 240
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Deep brain stimulation clinical trials: a framework to accelerate recruitment, retention, and technology translation
2026 · Frontiers in Human Neuroscience
Discusses challenges in recruiting and keeping patients in deep brain stimulation trials.
- Target-specific modulation of cortical narrowband gamma by basal ganglia nuclei: a case report
2026 · Frontiers in Human Neuroscience
Shows how different brain stimulation targets affect gamma brain waves in a patient.
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- Automated Prediction of Intraoperative Pneumocephalus During Deep Brain Stimulation Surgery
2026 · Parkinsonism & Related Disorders
- DystoniaDBSNet as a novel deep learning biomarker of predictive deep brain stimulation outcome in dystonia
2026 · npj Digital Medicine
Builds a deep learning tool to predict deep brain stimulation success in dystonia patients.
- INTRODUCTION Monopolar vs Bipolar Stimulation: Differences in Intraoperative Threshold During Deep Brain Stimulation Surgery
2026
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Joshua Wong hasn't set up this page yet. You can also look them up in the UF directory (search “Joshua Wong”).