We are excited to announce that our team "TIAKong" secured leading positions in the recent Monkey Grand Challenge, organized by the Department of Pathology, Radboudumc, Nijmegen, The Netherlands 🌟
More info: https://t.co/q9x6LizStA
We are excited to share that our team "TIAKong" secured leading positions in the recent PUMA Challenge, organized by the Department of Medical Oncology, University Medical Center Utrecht, in the Netherlands 👏
More info: https://t.co/RmwdRIX9cH
🚀 Thrilled to announce our latest publication in the British Journal of Cancer!
🔬We developed an AI-based intra-epithelial lymphocyte (IEL) score using H&E-stained Whole Slide Images to improve prognostication in oral epithelial dysplasia (OED) (1/4).
📈 Key finding: Increased IEL density in OED is strongly associated with malignant transformation, demonstrating the score’s prognostic utility.
✨ Huge thanks to the ANTICIPATE team, especially
@HanyaMahmood (joint first author), @sea_raza, @sakhurram and @nmrajpoot (2/4).
Pleased to share our latest paper in NaturePrecisionOncology reporting fully automated & explainable AI for diagnosis/prognosis prediction of Oral Dysplasia with @TIAwarwick funded by @CR_UK
https://t.co/rGIi8NsuOa
@shefunihealth@TUOS_Cancer#headandneckcancer@ShefDentistry
🚀 Excited to share that our latest research in predicting malignant transformation in oral epithelial dysplasia (OED) has just been published in @Nature_NPJ Precision Oncology!
Check out our paper and code below👇👨💻
https://t.co/WAVm4AqosF
https://t.co/pzs8MoXKQB
Happy to announce TIAViz: a visualization tool for the #cpath community with support for graph overlay, heatmaps, side-by-side viewing, Chat-GPT integration, easy link sharing, online deployment, etc. Now in @TIAToolbox!
Brilliantly done by Mark!
paper: https://t.co/9GNtExVHfq
🔬It was a pleasure to be joined by Dr Mark Eastwood today who gave a fantastic talk on "TIAViz: An open-source visualization tool in TIAToolbox"
📰Read the paper: https://t.co/0InD2DoXJr
🎥Watch the @TIAwarwick seminar: https://t.co/f1MaNZvqIS
@WarwickDCS@warwickmed
In 2022, we hosted CoNIC, the most extensive competition on automatic nuclei identification in computational pathology to date📈🚀. We are pleased to announce that the outcomes and a thorough analysis are now published in Medical Image Analysis 📣
WSIC—A Python Package and Command-Line Interface for Fast Whole Slide Image Conversion by @JohnathanPocock, @sea_raza, @fayyazhere & @nmrajpoot https://t.co/Bq3s7MdD5L
I had such an amazing visit to @TIAWarwick last week. @nmrajpoot, @sea_raza, @fayyazhere: a great team focussed on deep learning from histology images.
This field is a wonderland for interdisciplinary research! Multiplex, big cohorts, spatial… now, where’s that MTA form…..
It was a pleasure to be joined by Prof @LeQuesneLab yesterday, who gave a great talk on "Self-supervised learning in lung cancer histopathology"🔬 Thank you also to @MostafaJahanif1 for your excellent chairing!
Check out our @TIAwarwick Seminar below 👇
https://t.co/1pcHqFJopB