
Global Neurodegeneration Proteomics Consortium
@_neuroproteome
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The GNPC has brought together top dementia researchers from around the world to collaborate on proteomic and associated clinical data analysis.
Joined February 2024
At #ADPD2025? Join us today, Thursday, April 3rd, from 17:35 – 17:50 in Hall F2 for a presentation from Farhad Imam on creating the Global Neurodegeneration Proteomics Consortium to accelerate biomarker and drug target discovery across 40,000 biosamples.
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Arriving at #ADPD2025? Don’t miss the Global Neurodegeneration Proteomics Consortium this week. Join us for Thursday’s GNPC short talk and Friday’s GNPC symposium and reception.
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Heading to #ADPD25? Join us Friday, 04.04.2025.from 18:20-20:00 in Vienna for a discussion with top.dementia researchers on how the Global Neurodegeneration Proteomics Consortium (GNPC) created one of the largest disease-specific proteomics datasets ever assembled.
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Thank you to the AD Data Initiative (@AlzData) for the key contribution of the AD Workbench as a secure cloud platform for the GNPC--and grateful for their continued support for the overall project.
What if we could build the world’s largest plasma proteomics dataset? @_neuroproteome did! GNPC contributors have doubled in recent years. Congrats Farhad Imam on your #CTAD24 presentation & thanks to GNPC members & partners for their continued research collaboration in #ADRD.
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That’s a wrap on #CTAD24! Be on the lookout for major GNPC milestones this upcoming year, including kicking off a V2 cohort and V1 release to the broader research community. Stay connected with the latest from GNPC throughout the year by visiting
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At #CTAD24? Join the GNPC’s oral presentation TOMORROW, 5:55pm CET on Wednesday, Oct. 30th for a discussion about the latest updates on the largest disease-specific proteomic data set created.
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Heading to #CTAD24? At 5:55pm CET on Wednesday, Oct. 30th in Madrid, learn more about GNPC’s work to accelerate drug and diagnostic discovery for millions of dementia patients by creating the largest disease-specific proteomics dataset ever assembled.
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