Deep Neural Networks in image processing, predictive modelling and diagnostic decisions
Posted 2nd September 2020 by Liv Sewell
Now more than ever intelligent human beings are needed to fulfil high value and high complexity tasks and histopathology is no exception. In fact, it is one of the sectors in the most desperate need.
How deep learning is transforming medical imaging: image search
Posted 29th July 2020 by Liv Sewell
Five or six years ago, I was looking for a strategic direction for the KIMIA Lab. We started with the problems. We asked, ‘What problems do we have in medical imaging?’
Colorectal cancer discovery raises hope for microbiome treatment
Posted 22nd July 2020 by Joshua Sewell
This article is republished with kind permission from BioVox.
A new mechanism causing colorectal cancer has been discovered by researchers from VIB and Ghent University.
What AI Can and Can’t Do for Digital Pathology Right Now
Posted 15th July 2020 by Liv Sewell
It was fascinating to speak with Hamid Tizhoosh, Professor at the Faculty of Engineering at the University of Waterloo in Canada, Director of KIMIA Lab and keynote speaker at the 6th Digital Pathology & AI Congress: USA, about using AI to transform what is possible in medical imaging.
How to translate biomarker discoveries into clinical applications
Posted 8th July 2020 by Joshua Sewell
Extracellular vesicles provide an exciting opportunity as a modality for non-invasive biomarkers, which may enable them to be used as biomarkers for tumour metastasis.
PROTAC drug discovery – prior preparation and planning
Posted 1st July 2020 by Liv Sewell
“By failing to prepare, you are preparing to fail” so said Benjamin Franklin, and as a veteran of early stage drug discovery you can bet that I, like you, have seen my fair share of successes but also more failures than I’d like.
ctDNA and AI are the way forward in early cancer detection and metastatic treatment
Posted 24th June 2020 by Joshua Sewell
We spoke with Dr David Guttery about his pioneering work using circulating tumour DNA to enable early detection, monitoring and therapeutic decision making for better patient outcomes in gynaecological cancers.
Digital pathology: From over-promising to a reality check
Posted 17th June 2020 by Liv Sewell
Almost five years ago, the plan to implement a wide-ranging digital pathology approach across the Netherlands began to take shape. As more labs across the country acquire digital pathology capability, with steps to create a strong and accessible image repository and a national image exchange platform, one of the project leaders, Professor Katrien Grünberg, offered an update and spoke of some challenges that still lie ahead.
