NIDDK Scientist
ID: 75N94025Q00026Type: Presolicitation
Overview

Buyer

HEALTH AND HUMAN SERVICES, DEPARTMENT OFNATIONAL INSTITUTES OF HEALTHNATIONAL INSTITUTES OF HEALTH NICHDBETHESDA, MD, 20817, USA

NAICS

Custom Computer Programming Services (541511)

PSC

HEALTH R&D SERVICES; HEALTH CARE SERVICES; BASIC RESEARCH (AN11)
Timeline
    Description

    The National Institutes of Health (NIH), specifically the National Institute of Child Health and Human Development (NICHD), is seeking to procure the services of a specialized scientist through a non-competitive contract with Optimal Systems, LLC. The objective of this procurement is to leverage the contractor's expertise in biomedical imaging and medical image analysis to develop a non-invasive, cost-effective alternative to liver biopsy for assessing liver inflammation, a critical need for millions affected by liver disease. The contractor will implement a 3D Magnetic Resonance Elastography (MRE) technique, develop algorithms for liver tissue analysis, and utilize machine learning to evaluate inflammation levels, with deliverables including weekly status meetings and contributions to scientific publications. The anticipated contract period is from February 2, 2025, to February 1, 2026, with payment terms set to monthly in arrears. Interested parties may express their interest, but the decision on whether to pursue a competitive process lies solely with the government. For further inquiries, contact Ijada C. Fields at ijada.fields@nih.gov or 301-435-5452.

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    The National Institute of Child Health and Human Development (NICHD) intends to award a non-competitive contract to Optimal Systems, LLC for specialized services of a scientist with expertise in biomedical imaging and medical image analysis. This acquisition, coded under NAICS 541511, aims to develop a non-invasive, affordable alternative to liver biopsy for assessing liver inflammation, benefiting millions suffering from liver disease. The contractor will implement a 3D Magnetic Resonance Elastography (MRE) technique, develop algorithms for liver tissue analysis, and utilize machine learning for assessing inflammation levels. Deliverables include weekly status meetings and contributions to scientific publications. The anticipated contract period is from February 2, 2025, to February 1, 2026, with payment terms set to monthly in arrears. Interested parties may express their interest, but the decision on whether to pursue a competitive process lies solely with the government. This project highlights the NIH’s commitment to advancing liver disease research through innovative non-invasive methodologies.
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