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.
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.
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.
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.
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.
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.
Posted 10th June 2020 by Liv Sewell
Bringing molecular and digital pathology closer together through a more integrative approach can lead to clear advantages for diagnostic and research workflows.
Posted 3rd June 2020 by Liv Sewell
Computational pathology has increased applications for diagnosis, prediction of prognosis and therapy response, facilitating the movement of healthcare towards personalised medicine.
Coupled with deep learning, such tools are ever more efficient and robust within research and clinical settings.