Health and Biomedical

UQ researchers have developed AI-powered melanoma surveillance tools that help detect hard-to-spot skin cancers more consistently and accurately, improving early diagnosis and access to screening for Australians, particularly in regional and rural communities.

A multidisciplinary UQ team, led by Dr Lauren Auode is developing and benchmarking deep learning and agentic AI approaches using multimodal datasets from around 460 patients with oesophageal cancer and melanoma.

Magnetic resonance imaging (MRI) is one of healthcare's most powerful diagnostic and monitoring tools, but conventional scanners are expensive, non-portable and require siting in specialised facilities.

UQ researchers have developed a framework that tests whether AI can provide trustworthy explanations during antibiotic discovery, helping scientists design novel antibiotics for new treatments for drug-resistant superbugs.

UQ researchers have developed FeatureMAP, a machine-learning framework that helps scientists analyse how cells transition between states and identify genes associated with those changes, providing new insights into biological development, immune responses and disease.

The Florence Project is developing AI-enabled communication technology that helps people living with dementia stay connected, confident and independent in everyday life through personalised support, communication assistance and human-centred design.

Researchers at The University of Queensland are using artificial intelligence and machine learning (ML) to transform the vast streams of data generated in paediatric intensive care units into real-time clinical insights.

Analysing a brain scan often means outlining lesions by hand — slow, painstaking work that can vary from one clinician to the next.

People often wait hours in a hospital emergency department (ED) for conditions that aren’t serious, causing unnecessary waiting time and adding pressure on an already stretched system. Queensland’s Minor Injury and Illness Clinics (MIICs) were established to treat exactly these patients, yet many people still self-refer to a facility that doesn’t match the severity of their condition.

Changes in the brain’s smallest blood vessels are linked to cerebrovascular disease, but these vessels are among the hardest structures to see and measure. Ultra-high-field MRI can now capture the arteries of the living human brain in fine detail, but turning those scans into precise maps of the tiniest vessels requires painstaking segmentation.