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We are delighted to announce that one of the TIA Centre鈥檚 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鈥檛 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.

We are excited to share that our team 鈥�TIAKong鈥� secured leading positions in the recent PUMA (Panoptic segmentation of nuclei and tissue in advanced Melanoma) Challenge , organized by the Department of Medical Oncology, University Medical Center Utrecht, in the Netherlands. With over 300 participants from around the globe, this challenge aimed to advance automated panoptic segmentation techniques for H&E-stained melanoma tissue images. Read MoreLink opens in a new window

We are excited to announce that our team 鈥�TIAKong鈥� secured leading positions in the recent Monkey Grand Challenge , organized by the Department of Pathology, Radboudumc, Nijmegen, The Netherlands. Drawing more than 400 participants from around the globe, the challenge focused on automated detection and classification of mononuclear leukocytes in PAS-stained transplant kidney biopsy images. Read MoreLink opens in a new window