Using cake as an analogy, this research explains how buried sandstones can store naturally heated water for geothermal energy. By studying rock outcrops, cores, and microscopic structures, the work assesses sandstone quality to unlock reliable, renewable heat for buildings—available year-round as a low-carbon energy source.

This research examines how AI is used in NHS radiology and challenges claims that it will replace radiologists. Instead of full automation, AI supports clinicians, helping manage workforce shortages while radiologists retain responsibility for diagnosis and treatment decisions. Evidence, not hype, should guide debates about AI and work.

This research uses computer simulations to predict how Greenland’s ice mélange—the icy “cork” stabilizing glaciers—will melt under climate warming. Results show ocean temperatures drive melting twice as strongly as air temperatures. A new equation from this work helps improve climate models and reduce uncertainty in future sea-level rise.

This research uses ultra-powerful lasers to study electrons in near-vacuum conditions, enabling precise measurements of laser intensity and vacuum cleanliness. By tracking electron ejection angles and clearing dynamics, the work supports next-generation experiments in vacuum physics, fusion energy, and radiation science—creating a “laboratory fish tank” for exploring empty space.

Late-stage cancers often recur more aggressively after treatment. This research identifies the specific dendritic cell types found inside tumors, distinguishing “good” anti-cancer cells from “bad” tumor-promoting ones. Using this knowledge, a tailored dendritic-cell vaccine is being developed and tested in an ovarian-cancer-like mouse model to prevent relapse.

Bumblebees navigate complex environments by using optic flow—the motion of images across their eyes—to estimate speed and detect obstacles. Unlike other insects that rely on lateral optic flow, bumblebees monitor the frontal-lateral field to see hazards earlier. This research reveals how bees avoid collisions and informs bio-inspired flight control.

This research examines why people choose to engage with disturbing stories of strangers’ suffering, despite emotional discomfort. Motivations include curiosity, empathy, self-understanding, and seeking awareness of the world. Understanding these reasons may help promote greater social empathy, awareness of urgent struggles, and engagement with issues requiring collective action.

This thesis explores the challenges faced by young people with rare chronic kidney diseases as they transition from pediatric to adult healthcare. The researcher works to support families, improve preparedness, and ensure no young person is left behind, aligning with global goals for equitable, inclusive healthcare for vulnerable populations.

Mel-AI is an artificial intelligence system designed to assist pathologists in distinguishing melanoma from benign moles. By training computer-vision models on 520 cases, the system reached 96% accuracy and interpretable outputs. It offers scalable, objective quality assurance, reducing misdiagnosis risk and improving melanoma detection in high-incidence countries like Australia.

Feathers and blood preserve detailed biological records of Tītī stress, diet, and environment across both New Zealand and the North Pacific. By analysing hormones and stable isotopes in modern and historical samples, this research reveals how climate change affects Tītī populations and identifies which groups are most vulnerable, guiding future conservation efforts.