AI for Parkinson’s: From Data to Care in an Aging World

Agenda

(subject to change) 

9:00-9:10 AM

Welcome Remarks


9:10-9:40 AM

Keynote Address: Artificial Intelligence in Parkinson’s Disease: Transforming Diagnosis, Treatment, Monitoring, and Personalized Care 


9:40-10:30 AM  

Session #1: AI for Biomarker Discovery, Diagnosis and Screening  

Chair: David Standaert, MD, PhD 

  • Ehsan Hoque, PhD – What if Parkinson’s Didn’t Require a Neurologist to be Detected? 
  • Alex Pantelyat, MD – AI for State and Trait Biomarkers of PD and Related Disorders: A Changing Landscape for Neurology 

10:30-10:45 AM

Break  


10:44-11:35 AM  

Session #2: New treatments: Target Identification and Drug Discovery Using AI 

Chair: Najim Dehak, PhD 

  • Clemens Scherzer, MD – Can We Predict the Future of Parkinson’s Disease? Building a Parkinson’s AI Model From Genomes, Brain Cells, and Health Data

11:35 AM-12:25 PM  

Session #3: Using AI to Optimize the Clinical Care Experience 

Chair: Peter Abadir, MD 

  • Kimberly Kontson, PhD – AI Tools Already at Home  

12:25-1:30 PM

Lunch

Mentor/mentee lunch (for those who signed up)


1:30-2:15 PM

Person with PD and Care Partner Panel 

Moderator: Debra Mathews, PhD ; Galina Reitz, PhD 

  • What do we need AI to do for us/which problems need solving? 
  • What are our fears concerning AI? 
  • Are patient safety/privacy/data protection concerns regarding AI use in healthcare being appropriately addressed?
  • How to make AI tools usable and user-friendly? 

2:15-2:30 PM 

Break and Snacks


2:30-3:30 PM  

Lightning Science Presentations and Q+A

Moderator: Ted Dawson, MD, PhD 


3:30-4:30 PM

Innovation Showcase 


4:30-4:45 PM

Wrap-up and Takeaways From the Conference 

Additional details regarding the agenda, acceptance of abstracts, and travel awards will be announced in the coming months. 

For questions, please contact: Dr. Elvin Yao, Senior Program and Research Manager, eyao@apdaparkinson.org

This conference is a partnership between APDA and Johns Hopkins Artificial Intelligence
and Technology Collaboratory (AITC) for Aging Research