This research has developed an electronic nose that combines gas sensors with machine learning to detect food spoilage and hidden allergens. By recognizing unique scent signatures more accurately than the human nose, the technology could improve food safety, prevent allergic reactions, reduce food waste, and eventually be integrated into everyday devices.

This research engineers peptide-based "drug cages" that assemble like molecular zippers to deliver medicines only at their intended target. Inspired by natural protein structures, these programmable nanostructures could dramatically reduce chemotherapy side effects by releasing drugs precisely where needed, improving treatment effectiveness while protecting healthy tissues.

This research develops targeted lipid nanoparticle delivery systems to improve tuberculosis treatment and vaccination. By replacing PEG coatings and using mannose to target infected macrophages, it aims to deliver drugs more effectively, reduce treatment duration, improve vaccine performance, and contribute to the global elimination of tuberculosis.

This research develops an ultra-low-power, battery-free newborn monitoring system for under-resourced hospitals. Using on-device artificial intelligence and energy harvesting, it continuously detects signs of distress while protecting patient privacy. The technology aims to support overstretched nurses, enable earlier intervention, and reduce preventable newborn deaths worldwide.

This research develops innovative three-dimensional "daisy" particle structures to improve inhaled medicines. Using Isothermal Dry Particle Coating, it prevents fine drug particles from clumping, ensuring they reach the lungs effectively. The work aims to improve inhaler performance and treatment for the 300 million people worldwide living with respiratory diseases.

This research develops gold nanoparticles coated with peptides to block DNA repair in colorectal cancer cells, helping overcome drug resistance. Laboratory studies show the treatment dramatically reduces cancer cell survival after radiation while minimising toxicity. The approach could provide a safer, more effective therapy for colorectal cancer and other drug-resistant cancers.

This research develops advanced optical imaging technology to observe neurons firing in real time throughout the brain. By combining high-speed microscopy with flexible fibre-optic image relays, the system overcomes the challenge of light scattering, enabling clearer recordings of neural activity and deeper insights into brain function.

This research develops 3D-printed hydroxyapatite scaffolds that actively stimulate bone regeneration. Unlike traditional bone grafts, these synthetic scaffolds recruit stem cells and encourage new bone formation. Animal studies show promising healing results, raising the possibility of personalised, patient-specific implants that improve recovery from severe bone injuries and defects.

This research develops a physics-based method for measuring lung elasticity from medical imaging to predict which emphysema patients will benefit from lung valve treatment. By creating detailed elasticity maps, the work aims to improve treatment selection, enhance patient outcomes, and provide new quantitative tools for assessing lung health.

This research develops a robotic system capable of reproducing real-world knee motions and ACL injury mechanisms in human cadaver knees. The platform enables realistic testing of injury-prevention technologies, improves understanding of ACL rupture biomechanics, and may help reduce injury risk, particularly among women who experience higher ACL injury rates.