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This is a pre-announcement only. No response is required at this time. The Medical Technology Enterprise Consortium (MTEC) is excited to post this pre-announcement for a Request for Project Proposals ... This is a pre-announcement only. No response is required at this time. The Medical Technology Enterprise Consortium (MTEC) is excited to post this pre-announcement for a Request for Project Proposals (RPP) focused on providing soldiers and military medic personnel with Artificial Intelligence (AI) and Machine-Learning based decision support software to enhance their ability to provide short and long term patient care in all domain operation (ADO) environments. _____________________________________________________________________________________ Background: The overall objective of interoperable Algorithms for Care and Treatment (iACT) is to provide the enhanced medical knowledge, skills, and abilities for combat life savers and military medical personnel to care for injured warfighters in Prolonged Field Care (PFC) or deployed clinical settings. These capabilities are imperative not only to support injuries sustained from military munitions, but also the enduring threat of disease and use of chemical, biological, radiological, and nuclear (CBRN) weapons during Multi-Domain Operations (MDO). The effective implementation of the platform will enable a larger portion of the Joint Force to quickly and accurately assess and treat injuries sustained from a variety of mechanisms. The goal of iACT is to provide warfighters with access to an inclusive database which will utilize AI algorithms to generate indications, warnings, and suggestions to support their ability to monitor, diagnose, triage, and treat injured warfighters. Solution Requirements: The iACT prototype is a software system utilizing AI and Machine Learning based Clinical Decision Support algorithms to be used to support military medical personnel in their duties. The system will be developed with a Graphical User Interface (GUI) and Application Program Interface (API) to receive patient data both manually entered and automatically collected from vital sign monitors. The system will analyze the data received and provide recommendations for medical treatment. AI capabilities include, but are not limited to, predicting point of patient decompensation, predicting injury patterns, assessing patient status, identifying treatments and medications relating to the initial assessments, and providing medical alerts for personnel based on patient medical data. The prototype must enable the development of specific AI-based algorithms that are free of errors and minimizes the risks of data fitting and dimensionality through scalable data subsets. Offerors will be expected to provide the following information in their submissions in response to this upcoming RPP: Prior experience developing and integrating machine learning algorithms. Strategy for large-scale dataset management. Identification of pitfalls and decision factors that should be considered when making short-term and long-term decisions. Description of the types of Artificial Intelligence/Machine Learning algorithms for medical purposes that could be developed and the types of data/amount of data necessary for developing those algorithms, as well as the strategy and feasibility of successfully developing each algorithm. Strategy and recommended software to store large-scale datasets and how they will be optimized to build machine learning algorithms. Strategy for managing query costs. Strategy and recommended software for the processing of large-scale data sets. Strategy for handling different types of data and what those data types may include. Potential Follow-On Tasks: There is potential for award of one or more follow-on tasks based on the success of any resultant Research Project Awards (subject to change depending upon Government review of work completed). Note that any potential follow-on work is expected to be awarded non-competitively to resultant project awardees. Potential follow-on tasks include (but are not limited to) procurement, fielding, and sustainment for the iACT system. Potential Funding Availability and Period of Performance: The U.S. Government (USG) Department of Defense (DoD) currently anticipates $5.8 Million (M) for this upcoming program. The USG may apply additional dollars for follow-on efforts via post award modification to any resultant awards after the evaluation and acceptance of work and cost plan. Dependent on the results and deliverables, additional time may be added to the period of performance for follow-on tasks. MTEC expects to make a single award to a qualified Offeror to accomplish the statement 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. See the “MTEC Member Teaming” section below for more details. The Period of Performance (POP) is not to exceed five years. Acquisition Approach: This upcoming RPP will be conducted using a two-staged approach. In Stage 1, current MTEC members are invited to submit White Papers using the format contained in the RPP. The USG will evaluate White Papers submitted and will select White Papers that best meet their current priorities using the criteria specified in the RPP. Offerors whose solution is selected for further consideration based on White Paper evaluation will be invited to submit a proposal in Stage 2. Notification letters will contain specific Stage 2 proposal submission requirements. The RPP will be posted to the MTEC website (mtec-sc.org) and a notice will be posted on beta.SAM.gov to notify interested parties. The RPP is expected to be released in Quarter 2 of FY21 and will have a short proposal preparation period (approximately 30 days). MTEC membership is required for the submission of a white paper in response to this upcoming MTEC RPP. To join MTEC, please visit http://mtec-sc.org/how-to-join/. MTEC Member Teaming While teaming is not required for this effort, Offerors are encouraged to consider teaming during the proposal preparation period (prior to proposal 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. MTEC members are encouraged to use the MTEC Database Collaboration Tool to help identify potential teaming partners among other MTEC members. The Database Collaboration Tool provides a quick and easy way to search the membership for specific technology capabilities, collaboration interest, core business areas/focus, R&D highlights/projects, and technical expertise. Contact information for each organization is provided as part of the member profile in the collaboration database tool to foster follow-up conversations between members as needed. The Collaboration Database Tool can be accessed via the “MTEC Profiles Site” tab on the MTEC members-only website. 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. Point of Contact For inquiries regarding this pre-announcement, please direct your correspondence to Dr. Lauren Palestrini, MTEC Director of Research, lauren.palestrini@officer.mtec-sc.org