NIH Reporter #1RF1AG087271-01A1

NIH/NIA Solicitation for Alzheimer's Disease Biomarker Research Using Machine Learning

This opportunity is issued by the National Institute on Aging (NIA), part of the National Institutes of Health (NIH), seeking research proposals on Alzheimer's disease biomarkers using machine learning. - Government Buyer: - National Institute on Aging (NIA), NIH - OEMs and Vendors: - No specific OEMs or vendors are named in the solicitation - Products/Services Requested: - Research project focused on mapping amyloid, tau, and neurodegeneration markers with neuropsychiatric phenotypes and genotypes in the Alzheimer's disease continuum - Utilization of machine learning techniques to analyze relationships between brain amyloid PET, tau PET, and MRI markers with neuropsychiatric symptoms, vascular risk factors, and genetic risks - Single lump sum line item for the research project - Unique or Notable Requirements: - Integration of multiple biomarker modalities (amyloid PET, tau PET, MRI) - Application of advanced machine learning approaches to large, complex datasets - Focus on neuropsychiatric symptoms and genetic risk factors in Alzheimer's disease continuum - Estimated contract value is approximately $3.19 million

Description

This project aims to investigate the relationships of brain amyloid PET, tau PET, and MRI markers with neuropsychiatric symptoms, vascular risk factors, and genetic risks for neuropsychiatric symptoms in Alzheimer's disease using machine learning approaches. The research is focused on Alzheimer's disease biomarkers and involves machine learning techniques. The project is funded by the National Institute on Aging (NIA), part of the NIH, with a total award amount of approximately $3.19 million. The project duration spans from September 2025 to August 2029.

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