Biomedical Data Analytics News

The Bigpicture project is an initiative aimed at transforming the field of pathology through the creation of a comprehensive, high-quality digital repository of three million pathology images. Funded by the EU Innovative Medicines Initiative (IMI), Bigpicture brings together a consortium of leading academic institutions, research organisations, and industry partners from across Europe and beyond. The project’s mission is to develop an open-access platform that leverages artificial intelligence and machine learning to analyse vast amounts of pathology data, advancing research, diagnostics, and treatment in healthcare. By fostering collaboration and innovation, Bigpicture envisions a future where digital pathology becomes a cornerstone of precision medicine, enabling faster, more accurate diagnoses and personalised patient care. Read MoreLink opens in a new window

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.

We are excited to share that our team “TIAKong” secured leading positions in the recent PUMA (Panoptic segmentation of nuclei and tissue in advanced Melanoma) Challenge https://puma.grand-challenge.org/puma/Link opens in a new window, 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