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

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The Tissue Image Analytics (TIA) Centre at the University of Warwick is pleased to announce the call for papers for the special session on “Frontiers in Computational Pathology” at the Medical Image Understanding and Analysis (MIUA) 2025 conference, taking place in Leeds, UK (15-17^th July 2025). This session will explore the latest advancements in computational pathology, a field revolutionising disease diagnosis, prognosis, and treatment through artificial intelligence (AI) and digital pathology. Please visit our website here for more details.

A recent study accepted by ISBI 2025 introduces a novel model that improves cancer grade classification and gland segmentation.

A recent study introduces a novel deep learning method for segmenting blood vessels (BVs) in H&E tissue slides, addressing the challenge of BV heterogeneity.

The recent Oral Epithelial Dysplasia (OED) Workshop, held at The Edge in Sheffield on 18 November 2024, marked a significant milestone for the ANTICIPATE project. Since its inception in 2020, this Cancer Research UK (CRUK)-funded collaboration between the TIA Centre at Warwick and the Neopath team at Sheffield has aimed to revolutionise the grading of OED. By leveraging AI-based tools, the project has sought to refine grading methodologies while uncovering novel biomarkers to improve clinical outcomes.

On Wednesday, October 2, 2024, I attended the 3rd annual Digital Pathology and AI showcase event titled "Digital Pathology Algorithms (DP and AI): Are we looking at the patient journey?", sponsored by Roche Diagnostics UK and Ireland. The event was an insightful exploration of how digital pathology and AI algorithms are transforming healthcare, with a particular focus on improving the patient journey. Read More

ECP, Florence, another great opportunity to mix networking, work and sightseeing in a jam-packed week. “Unfortunately” there were no direct flights to Florence from Birmingham. This therefore required me to travel to Florence via Pisa the day before the conference. This allowed me to visit the iconic leaning tower, which certainly didn’t fail to impress. From there, it was a scenic 50-minute journey on a double-decker train to Florence. Read MoreLink opens in a new window

After attending the 28th Conference on Medical Imaging and Analysis (MIUA 2024) in July, I was refreshed to learn about up-and-coming research in medical imaging. It was a collage of brilliant ideas and contributions to the different realms of medical imaging, including brain, dental bone, endoscopy, cardiac, whole slide imaging, and more. Read MoreLink opens in a new window

The Tissue Image Analytics (TIA) Centre at the University of Warwick is excited to announce the continuation of its esteemed seminar series for the 2024/25 academic year. These seminars are a prime opportunity for researchers, students, and professionals to delve into cutting-edge developments in computational pathology and related fields. Read MoreLink opens in a new window

Wednesday 3^rd July 2024 saw 30+ colleagues interested in Artificial Intelligence and Pathology descend on Warwick University’s TIA Centre to hold a workshop. Delegates from a variety of disciplines, including pathologists and data scientists, attended the workshop, on Campus. Read MoreLink opens in a new window

Attending the 20th European Congress on Digital Pathology (ECDP) 2024 in Vilnius, Lithuania, was an enriching experience. Over three days, experts and professionals gathered to exchange knowledge, present innovative ideas, and network. Here are some highlights and personal insights from the event. Read MoreLink opens in a new window

I, Zhao Chen, am an Associate Professor with the School of Computer Science and Technology, Donghua University, Shanghai, China and a Visiting Researcher (01/09/2023-31/08/2024) with the Department of Computer Science, the University of Warwick, UK. My interests are in computational analysis for various kinds of images, including pathology, remote sensing and fabric images. Read MoreLink opens in a new window

Having come from an engineering background, I decided to pursue my postdoctoral experience in computer science, and I loved it. Just after submitting my thesis in Spring 2023, I started a research position at TIA, working with Dr Shan Raza on early detection of oral cancer and in collaboration with University of Sheffield. Reflecting on my first year at TIA, I have got much to say! Read MoreLink opens in a new window

By Adam Shephard (with the help of Chat-GPT)

I recently travelled to Athens for the ISBI 2024 conference. This was also a great opportunity to travel to Greece, and so my wife and I headed out a few days earlier and stayed on a nearby island called Aegina, just a 30 minute ferry from Athens port. Read MoreLink opens in a new window

Congratulations to our PhD student Ruqayya Awan on the acceptance of her paper titled "Deep Learning based Digital Cell Profiles for Risk Stratification of Urine Cytology Images" in Cytometry Part A

Publisher's link: https://onlinelibrary.wiley.com/doi/abs/10.1002/cyto.a.24313

Congratulations to Shan Raza who has recently had his jointly first-authored paper on the TRACERx lung cancer trial published in Nature Medicine.

Please follow this link for more information.

Results of our simulation study on how intelligent pooled sampling can save Covid tests is now on bioRxiv - Improving COVID-19 Testing Efficiency using Guided Agglomerative Sampling