# AWARD A LETTER CONTRACT FOR RADX TECH - OASIS DIAGNOSTICS TO COMPLETE THE VALIDATION, APPROVAL, AND PRODUCTION PROCESSES IN ORDER TO SCALE UP CAPACITY

> **NIH NIH N02** · OASIS DIAGNOSTICS CORPORATION · 2021 · $7,679,180

## Abstract

Oasis Diagnostics provides a series of innovative tools for standardized saliva acquisition including devices specific for cell free RNA / viral RNA that are ideally suited for COVID-19 testing on difficult saliva specimens. These collection tools [Pure•SAL, Super•SALâ„¢, Micro•SAL and SimplOFy] in particular are agnostic to the test being used and are already being used by many companies developing oral / saliva based tests for COVID-19. Oasis is a small business with under 20 employees and has been requested by companies developing COVID-19 to scale up manufacturing in order to produce volumes in excess of 100,000 Units of these technologies on a daily basis.  In order to be able to meet this goal, Oasis Diagnostics requires additional manpower, equipment and additional resources that it does not have at the present time.  As a result Oasis is seeking funding through the RADx Program to facilitate large scale manufacturing to meet the rapidly growing market for saliva collection technologies

## Key facts

- **NIH application ID:** 10505989
- **Project number:** 75N92021C00006-0-9999-1
- **Recipient organization:** OASIS DIAGNOSTICS CORPORATION
- **Principal Investigator:** PAUL SLOWEY
- **Activity code:** N02 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $7,679,180
- **Award type:** —
- **Project period:** 2021-01-08 → 2022-01-07

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10505989

## Citation

> US National Institutes of Health, RePORTER application 10505989, AWARD A LETTER CONTRACT FOR RADX TECH - OASIS DIAGNOSTICS TO COMPLETE THE VALIDATION, APPROVAL, AND PRODUCTION PROCESSES IN ORDER TO SCALE UP CAPACITY (75N92021C00006-0-9999-1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10505989. Licensed CC0.

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