This research develops a physics-based method for measuring lung elasticity from medical imaging to predict which emphysema patients will benefit from lung valve treatment. By creating detailed elasticity maps, the work aims to improve treatment selection, enhance patient outcomes, and provide new quantitative tools for assessing lung health.

This research examined how COVID-19 viral loads change over time across saliva, throat, and nasal samples. The study found that different sample types detect infection at different stages, demonstrating that testing method matters. These findings could improve diagnostic strategies for COVID-19, influenza, RSV, and future emerging respiratory viruses.

This research investigates whether activation of the sympathetic nervous system can enhance tissue regeneration. Using engineered neural switches in mice, the study demonstrated improved healing after ear injury, including growth of nerves, blood vessels, and cartilage. The findings suggest that nervous system regulation may play an important role in future regenerative medicine therapies.

This research examines whether metformin, a common diabetes drug, can improve social cognition in individuals with multiple sclerosis by promoting remyelination. Since MS damages nerve insulation, affecting brain function, the study explores whether treating co-occurring diabetes can reduce inflammation and symptoms, potentially leading to new regenerative therapies and improved quality of life.

This research investigates how painted turtles survive months without oxygen through epigenetic regulation. By identifying gene-switching mechanisms, it aims to uncover biological strategies for extreme hypoxia tolerance. These insights could inform medical, environmental, and space applications, potentially extending human survival in low-oxygen conditions and advancing fields like transplantation and exploration.

This research uses spatial transcriptomics to map interactions between T cells, cancer cells, and immunosuppressive cells in tumours. Findings suggest cancer suppresses immune responses by surrounding and weakening T cells. The work aims to improve immunotherapy and enable personalised cancer treatment through detailed tumour mapping.

This research investigates why blocking an early asthma “alarmin” signal often fails as a treatment. Using mouse models, it reveals that environmental differences—particularly the microbiome—can bypass this signal and still drive asthma. Understanding microbiome health may help predict treatment success and lead to more personalized, effective asthma therapies.

This research investigates Large Granular Lymphocyte Leukemia, where protective T cells become cancerous. The project explores how DNA methylation silences normal T-cell function and tests drugs that reverse this process. By removing harmful chemical modifications, the goal is to restore immune cells to their healthy, protective “superhero” role.

This research develops a computational method for detecting hidden RNA viruses within existing RNA sequencing datasets. By identifying conserved viral protein signatures, the approach enables large-scale discovery of previously unknown viruses, improving understanding of viral diversity, disease mechanisms, and future opportunities for diagnostics, surveillance, and antiviral treatment development.