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Automated pathology: less errors, more efficiency

Dear Sir or Madam,

In industrial production, many things are no longer carried out manually. Why? Because the work is monotonous, time-consuming and error-prone. This also applies to one aspect in the pathology laboratory: the sample receipt. In our current interview you will learn how to avoid mix-ups, contamination and loss of samples with the help of an automated system and how the processes can be made more efficient.

Have a pleasant week,

Elena Blume
Editorial team MEDICA-tradefair.com

image: 12 - 15 November 2018, MEDICA - World Forum for Medicine in Düsseldorf

Table of Contents

Topic of the Month: Big Data
Interview: Pathology 4.0
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Neurology: Early detection of Parkinson’s disease with app and data?

Topic of the Month

Image: Older couple is sitting next to each other, using their smartphones; Copyright: panthermedia.net/Fabrice Michaudeau
Big Data is often likened to finding the proverbial needle in a haystack: Large volumes of data contain patterns that hold the answer to a particular question. The trick is to gather meaningful data and identify patterns. The i-PROGNOSIS research project shows how smart devices and an app team up to automatically collect data without disturbing the user.
Read more in our Topic of the Month:
Neurology: Early detection of Parkinson’s disease with app and data?
How big data leads to diagnosis
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Research & Technology

Biosensor allows real-time monitoring for organs-on-a-chip

A new biosensor allows researchers to track oxygen levels in real time in "organ-on-a-chip" systems, making it possible to ensure that such systems more closely mimic the function of real organs. This is essential if organs-on-a-chip hope to achieve their potential in applications such as drug and toxicity testing.
read more
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Research & Technology

Robots as tools and partners in rehabilitation

In future decades the need for effective strategies for medical rehabilitation will increase significantly, because patients' rate of survival after diseases with severe functional deficits, such as a stroke, will increase. Socially assistive robots (SARs) are already being used in rehabilitation for this reason.
read more
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Research & Technology

Novel sensors could enable smarter textiles

A team of engineers at the University of Delaware is developing next-generation smart textiles by creating flexible carbon nanotube composite coatings on a wide range of fibers, including cotton, nylon and wool.
read more
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Pathology 4.0 – inveox automates laboratory processes

Interview

Image: Maria Driesel and her colleagues from inveox next to the new device; Copyright: Astrid Eckert
Mix-ups, contamination and sample loss – most errors in pathology happen when specimen are received. Countless samples arrive daily at the laboratory, while the registration process is very monotonous. As a result, the work is inefficient. The start-up company inveox has now developed a system that automates the processes in the pathology laboratory, thus making them more efficient.
Read the interview here:
Pathology 4.0 – inveox automates laboratory processes
All interviews at MEDICA-tradefair.com
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Economy & Markets

Million funding for Deep Learning project

Dr. Guido Montúfar, research group leader at the Max Planck Institute for Mathematics in the Sciences Leipzig, has been awarded an ERC Starting Grant for excellent young researchers. The European Research Council ERC is supporting his new group on deep learning theory, which focuses on improving learning in neural networks, with an amount of 1.5 million euro.
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