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What AI Can and Can’t Do for Digital Pathology Right Now

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.

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How to translate biomarker discoveries into clinical applications

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.  

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PROTAC drug discovery – prior preparation and planning

“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.  

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ctDNA and AI are the way forward in early cancer detection and metastatic treatment

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.

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Digital pathology: From over-promising to a reality check

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.

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imCMS: The door to simple, cheap, reliable bio-stratification

Bringing molecular and digital pathology closer together through a more integrative approach can lead to clear advantages for diagnostic and research workflows.

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Computational pathology: Heading for personalised medicine

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.

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What does international collaboration mean for you?

The present COVID-19 crisis has demonstrated the vital need for knowledge sharing across the global science community. We asked three of our speakers what international collaboration means for them as leaders in their fields.

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