# Midwest Biomedical Accelerator Consortium: MBArC

> **NIH NIH U01** · UNIVERSITY OF MISSOURI-COLUMBIA · 2020 · $1,171,566

## Abstract

SUMMARY
The NIH Rapid Acceleration of Diagnostics (RADx) initiative underpins the US national effort to develop
accurate, rapid, user-friendly, and accessible testing for COVID-19 infection. The Midwest Biomedical
Accelerator Consortium (MBArC) is one of five national Research Evaluation And Commercialization Hub
(REACH) centers funded by NIH to support the translation of novel scientific discoveries into business products
that diagnose, prevent, and treat high-burden diseases affecting the US population. The purpose of this
administrative supplement request is to leverage the highly aligned goals of the RADx and REACH programs
by supporting three promising scientific teams that will develop novel and innovative technologies into point-of-
care devices for diagnosing COVID-19 infection. Each scientific team will receive funding to perform proof-of-
concept and product definition studies. The leadership of the MBArC hub will work closely with each team to
assist them in achieving their milestones and de-risking their technologies. MBArC leadership will connect
funded teams to the academic and educational resources of the MBArC hub and REACH network. MBArC
leadership will also work closely with NIH staff to promote the success of the funded teams and the RADx
initiative.

## Key facts

- **NIH application ID:** 10230468
- **Project number:** 3U01HL152410-02S1
- **Recipient organization:** UNIVERSITY OF MISSOURI-COLUMBIA
- **Principal Investigator:** William P Fay
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,171,566
- **Award type:** 3
- **Project period:** 2020-09-02 → 2023-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10230468

## Citation

> US National Institutes of Health, RePORTER application 10230468, Midwest Biomedical Accelerator Consortium: MBArC (3U01HL152410-02S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10230468. Licensed CC0.

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