This research has developed a five-minute smartphone memory test that detects subtle cognitive changes associated with early Alzheimer's disease. The tool identified symptom-free individuals with underlying disease and predicted future cognitive decline, outperforming expensive brain scans while offering a simple, accessible, and affordable approach to early diagnosis.

This research investigates how aging changes blood stem cells, causing them to produce excess sticky platelets that increase the risk of heart attack and stroke. By identifying the genetic mechanisms behind this age-related shortcut, the work aims to develop therapies that reduce cardiovascular disease while improving healing in patients with low platelet counts.

This research developed NanoX, a nanoscale fluorescent sensor that images oxytocin release from individual neurons in real time. By revealing patterns of brain chemistry associated with mental health disorders, the technology could enable earlier diagnosis, improve understanding of neurochemical signaling, and support both preventive and personalized mental healthcare.

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 orally administered nanoparticles that target the lymphatic system to treat lupus and osteoporosis simultaneously. By delivering drugs directly to affected tissues while avoiding the bloodstream, the approach reduces toxicity, suppresses inflammatory and bone-damaging genes, and offers a more effective strategy for treating these complex chronic diseases.

This research develops orally administered nanoparticle therapies for metronomic chemotherapy in ovarian cancer. By delivering smaller drug doses directly to tumours over extended periods, it aims to reduce side effects, overcome drug resistance, improve patient quality of life, and make long-term cancer treatment easier and more effective.

This research investigates whether the diabetes drug dapagliflozin (DAPA) can be repurposed to treat metabolic dysfunction-associated steatotic liver disease (MASLD). Using laboratory models, it examines fat accumulation and NHE1 ion channel function, aiming to develop a cost-effective treatment for two closely linked metabolic diseases with one existing medicine.

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 uses artificial intelligence to analyse immune-system data and predict vaccine effectiveness. By identifying early biological signals associated with strong, long-lasting immunity, the work aims to improve vaccine design, personalise vaccination strategies, and support development of universal vaccines capable of protecting against rapidly evolving infectious diseases.

This thesis examines cytokine release storm, where the immune system becomes dangerously overactive. Using rat models, mathematical modelling, science and coding, she maps how corticosteroids move through organs and control inflammation. The goal is to optimise treatment for CRS during cancer therapy, COVID or future pandemics.