BlueHealer is developing a breakthrough implant to prevent major amputations in patients with advanced Peripheral Artery Disease (PAD), a chronic condition affecting over 12M Americans. Each year, 150,000 patients lose a limb due to the failure of current revascularization procedures, creating a cycle of repeated interventions, artery damage, and inevitable amputation. BlueHealer offers a new solution: an orthopedic implant that harnesses the body’s natural healing response to grow new blood vessels, restore blood flow, heal chronic wounds, and ultimately save limbs. Our device provides a last-resort limb salvage option for late-stage PAD patients, potentially saving hospital systems up to $38.5 billion while preserving patient mobility and independence.

The JHH Pacemakers project aims to develop a training simulator for nurses to practice using external pacemakers. The solution includes a handheld electronic prototype mimicking a real pacemaker, featuring knobs, buttons, and sensor lights, connected wirelessly to an interactive website. The website offers modules with step-by-step simulations, real-time EKG monitoring, and a points-based scoring system to evaluate nurse proficiency. Key features include short quizzes, error feedback, and scenario-based training for conditions like tachycardia. The project addresses gaps in current training methods, which lack hands-on, interactive elements. The final prototype integrates hardware (Raspberry Pi, encoders, buttons) with software (React-based interface) to provide a realistic, user-friendly training tool. The goal is to enhance nurse confidence and competency in pacemaker management through immersive, practical learning.

Anatomic Endoscopic Enucleation of the Prostate (AEEP) is a highly effective treatment for benign prostatic hyperplasia but remains challenging to master, requiring extensive practice and direct supervision by expert surgeons. This dependence limits opportunities for independent learning and slows trainee progression. To address this, we developed a hydrogel-based simulation model that replicates male pelvic anatomy, including the prostate and bladder. The model incorporates real-time force feedback using force sensors connected to a Raspberry Pi and Arduino. Trainees receive live visual cues, green (safe), yellow (near-threshold), and red (excessive), to guide safe and effective instrument use. An IMU sensor attached to the endoscope handle enables a dynamic minimap that tracks the tool’s position within the model. After the procedure, a feedback dashboard provides performance analytics for self-guided improvement. Our system promotes independent learning and enables efficient use of expert surgeon time, ultimately enhancing technical skill acquisition and clinical decision-making through simulation-based education.

Over 90% of burn fatalities occur in resource-challenged or austere environments (RAEs). Comprising low- and middle-income countries, military and conflict zones, mass casualty incidents, and rural areas, these environments are characterized by a lack of access to the technologies needed to perform autologous skin grafting, the gold standard for treating deep, extensive burns. One of the most important technologies is the machine mesher, which creates small incisions in the harvested skin graft, enabling expansion and coverage of a larger wound area. These devices can cost up to $15,000 per unit with some models requiring additional consumable components, rendering them inaccessible in RAEs. To address this gap, we have developed a low-cost incision template that enables rapid, standardized, and accurate skin meshing. Our device’s small form factor, improved speed, and ability to achieve higher expansion ratios holds significant potential to enhance burn care outcomes across a wide range of environments.