Michelle Cortis is a Senior Executive in the Industrial Partnerships and Commercialisation team for the Faculty of Engineering
Michelle Cortis
Industry Partnerships and Commercialisation Senior Executive, Engineering
Michelle's portfolio
Intelligent handheld surgery: precision microsurgical tools and realtime tissue mapping
Neurosurgical clip and actuator with stability and freedom of movement; non-invasive tumour identification probe for real-time mapping Find out more
Voltage measurement for cancerous tissues
A novel system that measures voltage in tissue and differentiates cancerous from non-cancerous tissue. Find out more
Smartphone Ballistocardiogram App
Smart phone Ballistocardiography (BCG) is a novel measurement method that requires fewer sensors (≥ 1) placed above the heart. It measures the physical movement of the chest due to the heart beating rather than electrical signals measured by ECG Find out more
A cytokine for wound healing and scar reduction
A cytokine that promotes wound healing by accelerating re-epithelialization of the wound bed faster than FDA approved products. The treatment also has a potential to minimise scarring after injury. Find out more
ArterioWave – simple ultrasound-based diagnosis and monitoring of heart failure
ArterioWave is a novel ultrasound-based tool for screening and monitoring heart failure. It can be used by non-specialists. It can be implemented on ultrafast scanners, conventional scanners or handheld devices. Find out more
Data-driven Multiplexing for Accurate Gene Detection
Machine learning approach for high-level multiplexing in qPCR and dPCR, up to 21-plex demonstrated Find out more
Non-invasive device for neural interfacing
A wearable non-invasive neural interface with the human spinal cord Find out more
PEPPER: A modular safety system for insulin dosing
PEPPER: A modular safety system for insulin dosing - glucose forecasting algorithm for long-term prediction horizons Find out more
The Bio-inspired Artificial Pancreas (BiAP)
Artificial pancreas technology with automated insulin delivery for blood glucose control in people with type I diabetes (TID). Find out more
GluNet: a deep learning framework for accurate glucose forecasting
Clinically validated blood glucose forecasting technology to accurately predict the probabilistic distribution of short-term (30-60 minutes) future continuous glucose monitoring (CGM) measurements. Find out more
Bioharmonophores for biomedical precision imaging
Biodegradable, second-harmonic generating nanoprobes for targeted, high-resolution in vivo tumour imaging Find out more
Sign up for updates
Sign up for monthly technology alerts via email, and find other ways to connect with us.