SBIR-STTR Award

Machine Learning for Airman Health and Readiness
Award last edited on: 12/29/2021

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$1,541,892
Award Phase
2
Solicitation Topic Code
AF193-CSO1
Principal Investigator
Ryan Jankord

Company Information

Adyptation LLC

280 Blackford Drive
Springboro, OH 45066
   (937) 623-2039
   N/A
   www.adyptation.com
Location: Single
Congr. District: 01
County: Warren

Phase I

Contract Number: FA8649-20-P-0175
Start Date: 12/12/2019    Completed: 12/12/2020
Phase I year
2020
Phase I Amount
$49,996
Airmen need to be at an ideal physiological state, without undue fatigue or stress, to perform their mission. To track the state of the Airman we need to understand and interpret data streams from wearables, trackers and other sensors. This proposal will assess the feasibility of integrating our machine learning analytics to track Airman health and readiness. Our commercial healthcare technology collects real-time physiological data, calculates the health status of an individual, and securely communicates that information, including critical alerts, to the medical team. The objectives of this proposal include: 1) customer discovery of Airman health tracking needs; 2) market analysis of high-fidelity physiological tracking devices; 3) technical assessment of integration requirements with AF platforms; and 4) final report on machine learning analytics for Airman health and readiness tracking. The opportunity to conduct a Phase I feasibility study will allow us to define the AF customer need, address the technical feasibility of our solution and assess the financial sustainability of our technology. The goal of this effort is to identify AF end user(s) and customer(s) interested in our solution and find avenues (e.g. SBIR Phase II award) to develop a prototype and transition our technology to support the AF mission.

Phase II

Contract Number: FA8649-20-C-0038
Start Date: 5/1/2020    Completed: 5/31/2022
Phase II year
2020
Phase II Amount
$1,491,896
Airmen need to be at an ideal physiological state, without undue fatigue or stress, to perform their mission. To track the state of the Airman, we need to understand and interpret data streams from wearables, trackers, and other sensors. We confirmed the need for machine-learning analytics to process biometric data and provide insights during our feasibility study in Phase I. The purpose of this Phase II proposal is to develop a prototype that can be utilized by the Air Force. The objectives of this proposal include developing predictive modeling, validating that modeling, enhancing the web application to facilitate communication between care providers and patients, and developing a mobile application to facilitate patient engagement. This capability is an extension of our (nondefense) commercial healthcare technology that collects real-time physiological data, calculates the health status of an individual, and securely communicates that information, including critical alerts, to the medical team. As evidence of commercial traction, Adyptation has secured commercial revenue and private investment capital, including closing additional investment since the since the initiation of our Phase I contract award. Our team has the technical experience to successfully complete this proposal and the commercialization experience to grow our business.