Scientific Strategy: Priority Research Questions in Alzheimer’s and ADRD
Guided by priority Alzheimer's disease and ADRD research questions
The Alzheimer’s Disease Data Initiative’s scientific strategy is guided by priority Alzheimer’s disease and ADRD research questions, refreshed with Advisory Board and community input and mapped to eight key research themes — from biomarkers and disease progression to risk prediction in low- and middle-income countries.
Mapping Priority Research Questions to 8 Key Themes
What biological pathways could serve as intervention targets or clinical trial stratifiers?
How can we rapidly, repeatedly, and consistently measure cognitive function?
How can we track and predict Alzheimer's disease progression?
What novel biomarkers can improve early ADRD diagnosis?
Can lifestyle changes or explainable AI help prevent or delay Alzheimer's disease?
Can Alzheimer's disease be defined into subtypes based on biomarkers and clinical presentation?
How do ADRD risk prediction models differ in low- and middle-income countries?
What are the risk factors for Amyloid-Related Imaging Abnormalities (ARIA)?
Cross-Cutting Themes and Levers
Cross-cutting themes include diversity of study participants and use of AI to accelerate progress.
Strategic levers to accelerate progress include:
- Scientific Driver Projects
- AI Explorations
- Gates Sr AD Fellows
- Data Challenges
- Research Collaborations & Consortia
A Dynamic Blueprint
Guided by an evolving list of priority research questions originally assembled in 2018, the AD Data Initiative is shaping the future of scientific discovery by integrating insights from our Advisory Board, community feedback, and thought leadership engagements. We envision this list of questions as a dynamic blueprint that will drive innovation, inform strategic decisions, and inspire the next generation of collaborative breakthroughs.