This research develops a nanoparticle-based diagnostic test for thrombotic thrombocytopenic purpura (TTP), a rare and deadly blood disorder. By enabling fast, affordable detection of the ADAMTS13 enzyme, the system could allow earlier diagnosis, timely treatment, and improved survival while inspiring new approaches to rare disease diagnostics.

Hip dysplasia is often diagnosed too late or too inconsistently, leading to lifelong pain. The speaker’s research builds the first open-access AI tool for detecting and studying the condition, enabling portable automated diagnosis and global collaboration. By sharing tools instead of guessing, researchers can reduce unnecessary surgeries and improve outcomes worldwide.

Prion diseases like CJD are extremely hard to detect early because harmful prions resemble normal brain proteins. This research introduces a new “flashbody” detection tool that binds only disease-causing prions, providing rapid, accurate, equipment-free diagnosis. Early lab results and patient-screening trials are promising, with potential applications to Alzheimer’s and other dementias.

Bowel cancer kills thousands each year, and current stool-based screening misses many cases. This PhD develops a new non-invasive method that analyzes human cells shed into stool, aiming to detect normal, pre-cancerous, and cancerous changes more accurately. The goal is a more reliable, higher-participation screening tool that could replace the existing national test.

My research uses AI and wearable technology to track brain and body signals such as brain waves (EEG), heart rate, and movement. The goal?  Spotting early signs of Alzheimer's and Parkinson's before symptoms show up. Catching these subtle changes could mean helping people sooner, letting them enjoy the everyday moments that matter most