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Deep Neural Networks in image processing, predictive modelling and diagnostic decisions

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. 

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Multiplex and high fidelity: the potential of qPCR

Ahead of the qPCR & Digital PCR Congress, we sat down with David Zhang to talk about his work with PCR as a diagnostic platform.

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From Consortia to Recombinants: opportunities and challenges facing the next generation of microbials

In this blog post I will discuss two themes that I see driving the next generation of live microbe biologicals for agriculture. These are the rational design and delivery of pairs or consortia (which I will define as more than two microbes) and the commercialization of engineered strains.

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How deep learning is transforming medical imaging: image search

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?’ 

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Colorectal cancer discovery raises hope for microbiome treatment

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.

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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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