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SAMDAILY.US - ISSUE OF OCTOBER 02, 2022 SAM #7611
SPECIAL NOTICE

A -- MTEC Solicitation Summary: Algorithm Development for Early Warning and Prediction of Chemical and Biological Threat Exposure Leveraging Artificial Intelligence and Machine Learning (AI/ML) Approaches

Notice Date

9/30/2022 6:16:26 AM
 

Notice Type

Special Notice
 

NAICS

541715 — Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
 

Contracting Office

W4PZ USA MED RSCH ACQUIS ACT FORT DETRICK MD 21702-5014 USA
 

ZIP Code

21702-5014
 

Response Due

10/17/2022 9:00:00 AM
 

Point of Contact

Lauren Palestrini
 

E-Mail Address

lauren.palestrini@mtec-sc.org
(lauren.palestrini@mtec-sc.org)
 

Description

**As a result of Amendment 01, the due date has been extended from October 7, 2022 to October 17, 2022 Noon Eastern Time. There are no other changes resulting from this amendment.*** The Medical Technology Enterprise Consortium (MTEC) is excited to post this summary announcement for a new Request for Project Proposals (RPP) for an Other Transaction for prototype project focused on the development of a software prototype containing algorithm(s) for early warning of chemical and biological threats. The project will involve proof-of-concept algorithmic development for providing predictive values indicative of a potential exposure/infection to a chemical/biological threat prior to symptom onset by utilizing physiological data captured from wearable devices. As stated at the end of this announcement, the full RPP is posted to the MTEC website (mtec-sc.org); this notice is intended only to notify interested parties of the available solicitation. ____________________________________________________________________________________ BACKGROUND: Prior to the COVID-19 pandemic, the Defense Threat Reduction Agency�s (DTRA�s) Digital Battlespace Management Division (RD-CBI) leveraged non-invasive physiological data to develop predictive algorithms capable of informing users of a potential exposure/infection to a chemical/biological threat prior to symptom onset. This capability was initially based on clinical hospital datasets that utilized hospital-grade monitoring devices. It was subsequently expanded to include multiple, large-scale, real-time datasets collected throughout the COVID-19 pandemic using commercial-off-the-shelf (COTS) devices. This capability illustrated the feasibility of an infection-based predictive algorithm built strictly from physiological data collected from wearable devices. The early warning capability is undergoing continued research and development (R&D), and has been refined to alert participating COTS device wearers and users to a potential COVID-19 exposure up to 48 hours in advance of symptom onset. Physiological data has been acquired from COTS devices such as the Garmin Fenix 6 smartwatch, Oura ring (Generation 2 and 3 versions), Dexcom patch (G6 Pro), Empatica E4 wristband, BioTel ePatch, among other devices and clinical ground truth data. Further R&D is underway to collect wearables-based, physiological data from over 10,000 participants for analysis and future algorithm development, including data verification and validation. The objective of this Request for Project Proposals (RPP) is to implement artificial intelligence/machine learning (AI/ML) methods and analytics approaches that can provide alerts of exposure to chemical and biological threats. Biological threats have been of interest due to the nature of incubation and transmission timelines; however, there is also interest in utilizing these methods to enhance capabilities for identifying chemical exposures through physiological-based data. Such improved capabilities would enhance the U.S. Department of Defense�s (DoD) capacity to limit the spread of a contagious agent throughout the force and/or more rapidly implement mitigation measures (e.g., medical countermeasures, quarantine), thereby reducing overall morbidity and mortality and increasing force readiness. PROJECT OBJECTIVE: RD-CBI is seeking a performer who can leverage existing wearable device-based datasets to develop algorithms that have the following attributes (not listed in order of importance): Produce a higher confidence predictive model for a biological and chemical threat exposure at lower than a 15% false positive rate Be optimized for data degradation: lowest capture of data or fewest number of viable physiological features to still achieve the optimal false negative and low false positive rate Provide an earlier prediction (i.e., greater than 48 hours) before symptom onset Be threat agnostic, with the ability to alert to any potential biological and chemical exposure Differentiate and account for confounding factors including but not limited to: sleep deprivation, exercise, activities at rest, and other daily stressors SCOPE OF WORK: At the end of the period of performance (PoP), the Offeror is expected to deliver to the Government a Technical Data Package to include a software design description, computer software product (e.g., executables, source code, and algorithms), software test plan, and verification and validation support documentation. POTENTIAL FOLLOW-ON TASKS: Under awards resulting from this RPP, there is the potential for award of one or more non-competitive follow-on tasks based on the success of the project (subject to change depending upon Government review of completed work and successful progression of milestones). Potential follow-on work may be awarded based on the advancement in prototype maturity during the Period of Performance (PoP). POTENTIAL FUNDING AVAILABILITY AND PERIOD OF PERFORMANCE: The U.S. Government (USG) currently has available a total of approximately $1.47 million (M) for this effort. It is expected that MTEC will make a single award to a qualified Offeror in Fiscal Year (FY) 2023 to accomplish the scope of work. If a single proposal is unable to sufficiently address the entire scope of the RPP, several Offerors may be asked to work together in a collaborative manner. The PoP is not to exceed 36 months. ACQUISITION APPROACH: This RPP will be conducted using the Enhanced White Paper approach. In Stage 1, current MTEC members are invited to submit Enhanced White Papers using the mandatory format contained in this RPP (see Section 8 of this RPP). The Government will evaluate Enhanced White Papers submitted and will select those that best meet their current technology priorities using the criteria in Section 5 of this RPP. Offerors whose proposed solution is selected for further consideration based on the Enhanced White Paper evaluation will be invited to submit a full cost proposal in Stage 2. Notification letters will contain specific Stage 2 proposal submission requirements. For more information regarding the requirements of the Enhanced White Paper process and template, refer to the full RPP which�is posted to the MTEC website (mtec-sc.org); this notice is intended only to notify interested parties of the available solicitation. MTEC membership is required for the submission of an Enhanced White Paper. To join MTEC, please visit http://mtec-sc.org/how-to-join/. MTEC will host a Proposers Conference that will be conducted via webinar within two (2) weeks after the release of the RPP. Further instructions will be forthcoming via email and posted to the MTEC solicitations webpage: https://www.mtec-sc.org/solicitations/� MTEC MEMBER TEAMING: While teaming is not required for this effort, Offerors are encouraged to consider teaming during the proposal preparation period (prior to Enhanced White Paper submission) if they cannot address the full scope of technical requirements of the RPP or otherwise believe a team may be beneficial to the Government. Refer to Section 2.6 of the RPP for resources that may help Offerors provide a more complete team for this requested scope of work. MTEC: The MTEC mission is to assist the U.S. Army Medical Research and Development Command (USAMRDC) by providing cutting-edge technologies and supporting life cycle management to transition medical solutions to industry that protect, treat, and optimize Warfighters� health and performance across the full spectrum of military operations. MTEC is a biomedical technology consortium collaborating with multiple government agencies under a 10-year renewable Other Transaction Agreement (OTA), Agreement No. W81XWH-15-9-0001, with the U.S. Army Medical Research Acquisition Activity (USAMRAA). MTEC is currently recruiting a broad and diverse membership that includes representatives from large businesses, small businesses, �nontraditional� defense contractors, academic research institutions and not-for-profit organizations. POINTS OF CONTACT: Please direct your inquiries and correspondence to the following contacts: Questions concerning contractual, cost or pricing related to this RPP should be directed to the MTEC Contracts Administrator at mtec-contracts@ati.org Technical and membership questions � Dr. Lauren Palestrini, Ph.D., MTEC Director of Research, lauren.palestrini@mtec-sc.org Administrative and membership questions � Ms. Kathy Zolman, MTEC Director of Program Operations, kathy.zolman@ati.org To view this solicitation, visit�https://www.mtec-sc.org/solicitations/�
 

Web Link

SAM.gov Permalink
(https://sam.gov/opp/7ed56f2d1e354e0f8214d3872aebe9de/view)
 

Place of Performance

Address: Frederick, MD 21702, USA

Zip Code: 21702

Country: USA
 

Record

SN06483670-F 20221002/220930230109 (samdaily.us)
 

Source

SAM.gov Link to This Notice
(may not be valid after Archive Date)

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