Virtual Medical Twin and Adaptive Medical View Technologies for Predictive Simulation of Injury Progression

CyberMedics, LLC, in partnership with Halite Medical Inc. and North Dakota State University (NDSU), submits this Phase I SBIR proposal in response to Army Topic A254-029, which seeks dynamic, physiologically accurate training aids that depict injury progression based on treatment decisions. Our team combines over 50 years of expertise in battlefield medicine, medical simulation, display technologies, and SBIR research to conduct a rigorous, model-based feasibility study and concept demonstration for a next-generation Tactical Combat Casualty Care (TCCC) and Prolonged Casualty Care (PCC) simulation system.      The U.S. Army has identified an urgent need to modernize TCCC training to meet the demands of multi-domain operations and improve survivability at the point of injury. Doctrinal guidance, including Army TC 8-800 and the National Association of Emergency Medical Technicians (NAEMT) Committee on TCCC (CoTCCC) standards, emphasizes the importance of both procedural proficiency and adaptive decision-making under high-stress conditions across all TCCC phases: Care Under Fire, Tactical Field Care, and Tactical Evacuation. However, current training systems—centered on static manikins used at Medical Simulation Training Centers (MSTCs)—lack physiological responsiveness, dynamic feedback, and integration with Live, Virtual, and Constructive (LVC) training environments. These shortcomings hinder readiness, especially for Reserve, Guard, and Special Operations Forces who require distributed, scalable training solutions.      In Phase I, we will evaluate and help the Army downselect emerging technologies for potential integration into a physiologically responsive simulation system. These include thin-film displays, digital twin frameworks, edge-connected physiological sensors, and AI-enabled Extended Reality/Augmented Reality (XR/AR) interfaces. Our goal is to transition from static moulage to a dynamic simulation platform that visualizes internal anatomical and physiological processes in real time, allowing medics to observe how injuries progress—or stabilize—based on treatment decisions such as hemorrhage control, airway management, and fluid resuscitation.      The proposed feasibility study will leverage a Model-Based Systems Engineering (MBSE) approach to identify technology stacks and integration pathways, ensuring compatibility with Army training infrastructure and operational workflows. We will also develop an early-stage concept demonstrator that highlights key functionalities and informs Phase II prototype development.      This innovative training solution will support medical education from classroom instruction to battlefield application and sustainment training at Roles 1 through 4. By enhancing decision-making, procedural realism, and physiological feedback, our system aligns with Army modernization priorities and opens pathways for dual-use application across civilian EMS and trauma systems.