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Karen Thomas has been appointed as the new Senior Project Manager for the TIA Centre. Karen has come from Coventry University where she was responsible for developing partnerships for academic collaboration with education establishments around the world. Read MoreLink opens in a new window

Professor Rajpoot, Director of the Tissue Image Analytics (TIA) Centre at the ¹û¶³´«Ã½, has been announced as the new GSK Chair of Computational Pathology at the ¹û¶³´«Ã½.

We're delighted to bring you the Spring 2023 edition of the PathLAKE newsletter. In this final newsletter we focus on PathLAKE's highlights and achievements over the past 4 years.

Click hereLink opens in a new window to download the newsletter.

A new study at the ¹û¶³´«Ã½, funded by the National Institute for Health and Care Research (NIHR) will shed light on how AI can transform colon biopsy screening – streamlining diagnoses and helping to ease the pressure on NHS histopathology resources. The research will involve data from 10 NHS hospitals across the UK and more than 10,000 biopsy samples.

Spring & Summer 2022 seminars are now available on the TIA Centre Youtube channel:

Prof Nasir Rajpoot delivers a keynote talk titled: "Computational Pathology and PathLAKE" at the TMC conference 7th March.

Please follow the link for further details.

Congratulations to Simon Graham, Mary Shapcott, Muhammad Shaban and Navid Alemi Koohbanani on the successful defense of their PhD theses

The ¹û¶³´«Ã½ TIA team represented by Prof Nasir Rajpoot and Dr Shan Raza are delighted to be part of the EU-wide €70M BIGPICTURE project.

Goal

To take AI development in pathology to the next level, a European consortium combining leading European research centres, hospitals as well as major pharmaceutical industries, is going to develop a repository for the sharing of pathology data. The 6-year, €70M project called , will herald a new era in pathology.

See the RadboudMC (coordinator) announcement for more info at:

On Wednesday 10th February, Dr Fayyaz Minhas delivered a seminar titled "Machine Learning Guided Discovery of Protein Interactions and Functions."

Please see the link here for more information.

Congratulations to our recent PhD student Navid Alemi Koohbanani on the acceptance of his paper titled "Deep Learning based Digital Cell Profiles for Risk Stratification of Urine Cytology Images" in IEEE Transactions on Medical Imaging. This article is the result of a successful collaboration with colleagues at the I2R in Singapore.

WRAP link:

Publisher's link:

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:

Welcome to Muhammad Dawood, Rob Jewsbury and Ruoyu Wang, who join the TIA team as PhD students (Nov/Oct 2020), Manahail Raza as an MRes student (Dec 2020) and Gozde Gunesli as a PhD student (Jan 2021).

Pro Nasir Rajpoot speaks at the SDiPath Annual meeting, January 2021.

Please find the link for further information.

An ethics workshop, organised for Thursday 14th January, brings together AI Centres of Excellence to further explore 'Ethics in Imaging'.

Prof Nasir Rajpoot delivers a keynote speech titled: "Computational Pathology for Precision Medicine" - 10th January 2021.

Please follow the link for more information.

Congratulations to the winners and all those who took part in the Pathcomp 'Beat the Pathologist' competition!

Thank you to all those who took part in this Autumn competition, it has been very successful and we look forward to seeing some future pathologists!

Please find the winners and more competition information

Also find further information of the competition

On Thursday 3rd December Dr Fayyaz Minhas gave a presentation titled "Whole slide images are graphs" at the Digital Pathology Congress (London, Virtual Meeting)

Please follow the link to view the presentation.

We are very excited to announce that Dr. Fayyaz Minhas will be a presenter in the upcoming Digital & AI Congress 2020. (Virtual Meeting)

This will take place Thursday 3rd December-Friday 4th December 2020.

Please follow the link for registration details and more information about the Congress.