The Challenge
What are the key factors driving differential rates of disease progression?
Disease progression varies widely from one person to the next, yet the reasons remain poorly understood. Today's research is fragmented across siloed datasets and inconsistent definitions, leaving studies underpowered to detect the patterns that matter. This project brings the data together to systematically identify, quantify and interpret the biological, clinical and methodological drivers of progression across neurodegenerative diseases, including Alzheimer's, Parkinson's, frontotemporal dementia and ALS.
Our Approach
This project harmonizes and analyzes clinical trial and longitudinal cohort datasets at scale, convening a global, interdisciplinary consortium of academic, industry and nonprofit partners. Bringing these datasets into a common environment makes it possible to compare findings across studies and surface signals no single dataset could reveal on its own.
Combining multimodal data across neurodegenerative diseases to uncover insights no single study could reach.
Key Research Questions
01
Why do progression rates differ within and across diseases?
02
Which biological, clinical, imaging and molecular features predict progression?
03
Can we define data-driven progression subtypes that improve trial design?
Representative questions, not a comprehensive list.
Partners & Investigators
Partner institutions
Partner-org list and logo clearance still needed.
Data & Tools
AD Workbench
Secure, cloud-based environment to access, combine and analyze data without moving it.
