Telepathology in the acute care setting
Posted 19th January 2021 by Nicholas Noakes
Speaking at the 2020 Digital Pathology Congress Liron Pantanowiz reviewed why he thought telepathology is still one of the key applications for digital imaging. In this blog, we report what he had to say about telepathology in an acute care setting and the importance of validation.
Inspirata and Cirdan Announce New Technical Partnership at the Digital Pathology & AI Congress
Posted 18th December 2019 by Joshua Sewell
At the 6th Digital Pathology & AI Congress, Inspirata and Cirdan announced their new technical partnership designed to empower NHS clinical laboratories to accelerate their use of digital pathology.
Machine Learning Innovation to aid Clinical Decision Making in Pathology
Posted 1st November 2019 by Joshua Sewell
“A medical image alone doesn’t add value unless it is tied to a clinical decision-making process” – Jochen Lennerz
The Breast Cancer Scanning Initiative (BCSI) scans histological slides of patients with high-risk breast lesions to generate annotated images. We then apply a Machine Learning algorithm to the slides to determine whether surgery is necessary.
Taking biomarker research to a new level
Posted 21st October 2019 by Liv Sewell
Ahead of the 6th Digital Pathology and AI Congress: Europe in December, we are revisiting Professor Inti Zlobec’s research, presented at last year’s Congress, which is opening a whole field of digital pathology research. Zlobec’s research applies the latest digital pathology technology to produce high-quality tissue microarrays for biomarker analysis.
Unleashing the power of digital pathology and AI for precision medicine
Posted 2nd October 2019 by Joshua Sewell
We’re looking back at the highlights from the Digital Pathology and AI meeting in 2018 as we anticipate this year’s Digital Pathology and AI Congress in December. This second post in our mini-series reviews Marylin Bui’s keynote presentation where she explained how the combination of Digital Pathology and Artificial Intelligence (AI) holds huge potential for patient care.
Digital Pathology and Deep Learning: AI assisting in PD-L1 scoring
Posted 25th September 2019 by Liv Sewell
Ahead of this year’s Digital Pathology and AI Congress in December we look back at some of the highlights from last year.
First up, Michel Vandenberghe’s presentation on a new deep learning algorithm, which demonstrates the potential of artificial Intelligence (AI) to support pathologists, has been developed for PD-L1 scoring in tumour cells and immune cells in urothelial carcinoma samples.
Falling off the cliff: are we short of pathologists?
Posted 18th September 2019 by Joshua Sewell
I can recall clearly the pathologists coming to lecture our medical school class our second year in 1993.
Most of them felt compelled to tell us, “Pathology is a lot of fun, you can make a good living, but don’t go into it, there aren’t any jobs.”
A High impact Open-Source tool for Digital Pathology Quality Control
Posted 11th September 2019 by Joshua Sewell
Ahead of his presentation at the 6th Digital Pathology and AI Congress: Europe, we spoke to Andrew Janowczyk about his work creating scalable data analysis techniques to facilitate cancer research through the development of open-source Digital Pathology tools.