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.
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.
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.
Computational pathology: Heading for personalised medicine
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.
Developing computationally derived imaging biomarkers for maximum clinical impact
Posted 16th March 2020 by Liv Sewell
Professor Anant Madabhushi is a world-recognised, award-winning leader in computerized imaging research and translational applications, with over 160 peer-reviewed journal publications and close to 100 patents issued or pending. He is a keynote speaker at the 6th Digital Pathology & AI Congress: USA. He explains here why having patents is not enough…
Developing Deep Learning Models for Pathology Analysis
Posted 9th March 2020 by Liv Sewell
Ahead of the 6th Digital Pathology & AI Congress: USA, Dr Saeed Hassanpour introduces us to the subject of his presentation: the opportunities and challenges in developing deep learning based tools for histology.
Using genome editing technology within a systems biology approach to understand plant immunity
Posted 2nd March 2020 by Liv Sewell
Interested in systems biology, omics technology, and plant bioinformatics? Catch up with one of our speakers from the 8th Plant Genomics and Gene Editing Congress: Europe, Professor Kristina Gruden…
