This project developed AI Care, a voice-based caregiving system for people with early-stage Alzheimer's disease. Unlike conventional voice assistants, it uses caregiver-maintained medical records to provide personalised, safety-aware support. By adapting to users rather than requiring users to adapt to technology, AI Care aims to extend safe, independent living at home.

This research investigates how glutamine-rich regions within the LAG-3 protein influence Notch signaling, a critical pathway for cell communication and development. Using CRISPR gene editing, the study found that removing glutamine repeats alters stem cell behavior and cell-cycle progression, providing insights relevant to cancer, Alzheimer’s disease, and future therapies.

This research applies fluid mechanics, numerical simulations, and machine learning to model the brain’s waste-clearance system during sleep. By investigating how fluid moves through brain tissue and how aging or injury affect this process, the work aims to identify strategies for preventing or slowing neurodegenerative diseases such as Alzheimer's.

This research develops a method to deliver EGCG, a green tea compound known to break apart Alzheimer's-related protein tangles, into the brain. By chemically attaching EGCG to a carrier that can cross the brain's protective barrier, the project aims to create a potential therapeutic strategy for slowing memory loss and disease progression.

This research investigates whether thallium exposure from 9/11 dust contributes to long-term memory loss in first responders. By linking biological samples with decades of cognitive data, findings suggest higher exposure increases risk of early Alzheimer’s indicators. The study emphasizes early detection and prevention for those exposed to environmental toxins.