Quantitative Analysis of Longitudinal MR Imagesview on SAM.gov

See attached Sources Sought Notice and attached Draft Statement of Work. SOURCES SOUGHT NOTICE Solicitation Number: 75N98027R00005 Title: Quantitative Analysis of Longitudinal MR Images Classification Code/Title: AN11 - Health R&D Services; Health Care Services; Basic Research NAICS Code/Title: 541714 Research and Development in Biotechnology (except Nanobiotechnology) Size Standard: 1,000 employees Description: This is a Research and Development (R & D) Sources Sought notice. This is NOT a solicitation for proposals, proposal abstracts, or quotations. The purpose of this notice is to obtain information regarding the availability and capability of all qualified sources to perform a potential R & D requirement. This notice is issued to help determine the availability of qualified companies technically capable of meeting the Government requirement and to determine the method of acquisition. It is not to be construed as a commitment by the Government to issue a solicitation or ultimately award a contract. Responses will not be considered as proposals or quotes. No award will be made as a result of this notice. The Government will NOT be responsible for any costs incurred by the respondents to this notice. This notice is strictly for research and information purposes only. Small businesses are encouraged to respond. Background: Since 1958, the Baltimore Longitudinal Study of Aging (BLSA) has been a major research program conducted by the National Institute on Aging (NIA). The BLSA is a multi-disciplinary study of physiologic and psychological aspects of normal aging in community-dwelling men and women. Active BLSA participants are volunteers who visit the Clinical Unit of the NIA-Intramural Research Program (IRP) in Baltimore, MD for testing every 1 to 4 years. Since 1994, the NIA has been conducting a longitudinal brain imaging study of older adults in the BLSA to characterize individual differences in longitudinal brain changes, to investigate the extent to which these brain changes underlie individual differences in cognitive aging, to identify brain changes that may be predictors of cognitive decline and Alzheimer's disease, and to assess the impact of potential modulators of brain and cognitive aging. As of October, 2024, more than 4000 neuroimaging evaluations have been performed for BLSA participants. As part of this research program, it has also been necessary to develop and validate sophisticated tools for analysis of longitudinal neuroimaging data that can be applied in large-scale studies. Thus, this project has involved the development, validation, and refinement of novel image analysis tools and the application of these tools to longitudinal Magnetic Resonance (MR) imaging scans and Positron Emission Tomography (PET) measures of regional cerebral blood flow, amyloid and tau deposition in brain. More recently, these tools include advanced machine learning approaches using pattern analysis to classify clinical status and …