Product Deployments: The Power of Intentional Design for Alzheimer's and Related Dementias (ADRD) Research

The following projects show what a product suite purpose-built for Alzheimer’s research makes possible. The AD Data Initiative is building the products and relationships that will bring the power and potential of robust infrastructure to ADRD research. Learn how the AD Workbench powers the world’s largest protein biomarker discovery effort, and how AD Curation Studio powers a novel digital speech biomarker study to diagnose ADRD.


The Global Neurodegeneration Proteomics Consortium (GNPC): How the AD Workbench Powers the World’s Largest Protein Biomarker Discovery Effort


Co-funded by Gates Ventures and Johnson & Johnson, the Global Neurodegeneration Proteomics Consortium (GNPC) united researchers from two dozen leading institutions to build the largest protein biomarker discovery effort for neurodegenerative disease ever assembled 300 million unique protein measurements from 40,000 biofluid samples across AD, Parkinson's, ALS, and FTD. By hosting the resulting harmonized dataset on AD Workbench, the AD Data Initiative enabled secure consortium-wide collaboration, free compute access, and public availability at a scale no single institution could support alone.


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SpeechDx: How the AD Curation Studio Powers a Novel Digital Speech Biomarker Study to Diagnose Alzheimer's Disease and Related Dementias (ADRD)


The AD Curation Studio is helping power SpeechDx, a three-year global study exploring speech as a biomarker for earlier diagnosis of ADRD. The study follows more than 2,000 participants across nine sites, combining digital speech recordings with clinical, imaging, biomarker, and cognitive data to create a gold-standard research dataset. AD Curation Studio securely brings these different data types together, enabling them to be cleaned, harmonized, and matched at the participant level. The resulting analysis-ready dataset is shared with permissioned researchers in secure private workspaces, where they can apply their own code and models while protecting sensitive participant data.


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