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Analysis of samples with 100 protein panel.

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The contract involves a study aimed at identifying patterns of metabolites, both endogenous and exogenous, that correlate with a set of proteins proposed as predictors of cardiovascular disease (CVD) risk. The focus is on analyzing samples using a panel consisting of 100 proteins to better understand the relationship between these metabolites and CVD risk indicators. The project is categorized under the NAICS code 541990 and is issued by the Food and Drug Administration. This opportunity is a forecast type contract with no specific solicitation number provided and lacks detailed information about the place of performance or specific organization type. The primary contact point for this contract is the FDA's acquisition liaison, with the contracting officer yet to be determined. The study aims to enhance predictive capabilities for cardiovascular disease by leveraging biochemical markers, reflecting the FDA's interest in advancing diagnostics and risk assessment tools in cardiovascular health.

General Info

Study analyzing metabolites and 100 proteins to predict cardiovascular disease risk for FDA.

Agency

Food and Drug Administration → Food And Drug Administration

NAICS

541990 - All Other Professional, Scientific, and Technical ServicesView NAICS

Place of Performance

US

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

forecast

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Organization & Contact Information

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AgencyFood and Drug Administration → Food And Drug Administration
Contacts2 people available
OfficeN/A
Organization / Agency
Food and Drug Administration → Food And Drug Administration
Office AddressN/A
Contacts
Hfp Acquisition Liaison
To Be Determined To Be DeterminedContracting Officer

Full Description

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Study to deermine in the pattern of metabolites correlates with a predictor of cardiovascular disease (CVD) risk. In this case "metabolites" includes endogenous and exogenous metabolites, and "predictor of CVD risk" will be a set of proteins that have been proposed to predict CVD risk.

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