36 devices, tools, and research projects built by M.I.C.E Labs students, engineers, and clinicians — from early concepts to deployed devices in active use.
Showing 1–8 of 8 In Development projects
In Development Diabetic Offloading Insoles
A customizable insole for people with diabetes that relieves pressure on foot ulcers by removing small sections where needed, helping wounds heal faster and reducing risk of repeat injuries.
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In Development Glowscope
This project solves poor visibility during life-saving airway procedures, especially where equipment is limited or fails. It introduces a low-cost, wearable light device that improves visibility, making intubation faster, safer, and easier.
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In Development Foot Wedges
This project helps people improve foot strength and mobility using a simple support device. It provides a stable surface for exercises, making rehabilitation easier, safer, and more effective at home or in clinics.
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In Development StomaNova
StomaNova is a low-cost implantable device designed to prevent leakage and skin infections in stoma patients by replacing unreliable adhesive stoma bags with a secure mechanical sealing system. It aims to improve patient comfort, dignity, and reduce repeated hospital visits and long-term healthcare costs.
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In Development Maculab – Automated Gram Staining Machine
Maculab automates Gram staining to reduce manual errors, speed up diagnosis, and process more slides simultaneously using controlled spraying and heat fixation.
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In Development Design and Innovation Curriculum for Medical Students
A three-stage design-thinking programme that helps medical students develop creative problem-solving and innovation skills through structured learning, specialisation modules, incubation, and hackathons.
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In Development Sharp Safe
SHARP SAFE makes used-needle disposal safer at the point of use. It destroys contaminated needles immediately, reducing needlestick injuries, infection risks, and unsafe sharps handling.
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In Development Machine Learning-Based Robotic Arms for Suturing Training
This training system helps medical students practise suturing independently. Machine learning-based robotic arms demonstrate suturing movements repeatedly, allowing students to observe and practise at their own pace.
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