We are delighted to announce that one of the TIA Centre’s PhD students, Ruoyu Wang, has officially passed their PhD viva last week. Their research entitled Computational Pathology Algorithms for Precision Oncology has been a fantastic contribution, and we couldn’t be prouder. Find a summary on their research below:-

Ruoyu's thesis focused on developing artificial intelligence (AI) tools to analyse routine histology slides and support personalised cancer care. Specifically, their research explored how deep learning can be used to predict clinically significant molecular biomarkers, stratify patients, and uncover novel tumour microenvironment (TME) patterns directly from digitised whole slide images (WSIs) of routine histology slides. These AI-driven approaches offer scalable, cost-effective alternatives to traditional molecular testing and contribute to the integration of AI into precision oncology, ultimately advancing more tailored and efficient cancer treatment strategies.