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Life Science

How do we build the solutions that will transform healthcare’s future?

We are building the solutions that will revolutionise healthcare in the future: solutions that will transform the trust relationship between the industry and patients, and the whole dynamic of healthcare. As co-founder of 23 Consulting, I am involved in supporting health organisations with their blockchain projects.

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What Digital Pathology can learn from Radiology

Radiology is ahead of the curve because they’ve had CAD (Computer Aided Detection) for about 20 years. Radiology as a field has therefore had experience of introducing and integrating AI algorithms.

In my previous post, I talked about high-level cross imaging modalities. Here, I will discuss three challenges specific to pathology. I also work with Radiology imaging, and I think that comparisons between the two can help see how pathology might develop in the future.

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A Finnish perspective on Blockchain adoption

The first topic I worked on that combined Blockchain and healthcare was the project I’m going to talk about at the Blockchain in Healthcare Congress. It was commissioned by the Finnish government, looking at how blockchain technology and Smart Contracts could help in a planned governmental social and healthcare reform. 

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Inhibiting NOX enzymes to treat multiple diseases with high medical need

NOX enzymes are a family of enzymes which amplify multiple signaling pathways associated with liver disease. At the Global NASH Congress, Alexandre Grassin shared a presentation about Genkyotex’s novel molecule GTK831, a NOX1/4 inhibitor, and the interim results from its phase two trial.

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Four challenges in developing AI algorithms for medical imaging

Unsurprisingly, there is a lot of hype surrounding AI. Available deep learning packages make it so easy to create models and so we can expect lots of them to emerge. Anyone able to access sufficiently labelled data can start building models.

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The top 4 challenges for microbiome companies – NIZO

Microbiome research is abundant and profoundly inspiring. Whether focusing on cancer drug response, or the more classical field of gut discomfort solutions, we are clearly on the brink of some long-anticipated breakthroughs. But despite the promise, companies in the field face challenges.

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The promise of AI in medical imaging: improving medical practice

In our lab of Quantitative Imaging and Artificial Intelligence, we’re developing AI applications in a variety of areas, such as radiology and pathology. The goal is to develop applications that meet unmet medical needs, particularly in relation to precision medicine and clinical prediction.

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Blockchain: the missing piece in healthcare’s digital transformation journey?

Blockchain technology is still in its nascency in the healthcare industry. At Frost & Sullivan, we do research and consulting for leading pharmaceutical and diagnostic companies, and the digital solution vendors that are providing Blockchain solutions to end-users.

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