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It's Movember again.

The moustache and November join up together each year to raise awareness of cancer. The Movember Foundation challenge men to change their appearance - and the face of men’s health - by growing a moustache.

Rules? Start on the 1st November clean-shaven and then grow your mo during the entire month turning it into the ribbon for men’s health.

Women? The Mo challenge is whatever you make it. Run a race. Learn to rock climb. Work out in costume. Try something new and raise funds for men's health.

Others? This Movember, get together to raise funds, make some noise and stop men dying too young.

JOIN THE MOVEMENT.

For more information visit:

mvmbr.co/2fcJCKc 

Partners of the PrECISE consortium already teamed up: COMBember

IBM's Watson is a cognitive technology that processes information more like a human than a computer. Watson can understand questions posed in natural language, searches for the appropriate terms in extensive text files, analyzes and evaluates by statistical means and finally gives the most probable answer.

It is also about the right answer when it comes to the treatment of cancer. The related questions are: Is the tumour benign or malignant? How does cancer progress? What is the effect of a certain drug?

Computer scientists from IBM are convinced that the answers can be found in the growing amount of medical diagnostic data. Cancer is of such complexity, that the recognition of typical patterns is possible only with the help of artifical intelligence.

Watch the video for more information. The clip (timeframe: 06:15 - 10:20) features the PrECISE partners Peter Wild from University of Zurich and Maria Rodriguez Martinez from IBM.

On 5th September, 2016 RAI3 Italy ran a 45 minutes news show about robots and computer intelligence. The segment included many examples from the IT industry including Amazon's robotic warehouses, Google's and Tesla's self driving cars, a helpdesk tool from Accenture and IBM Watson.

A sequence was dedicated to IBM with several interviews including partner Dr. Peter Wild from the Hospital of Zurich, talking about the benefits of integrating Watson in making life-saving diagnosis: "Watson can analyse all of these prostate cancer samples and compare this with existing published data to determine the right course of treatment for the individual patient. It's impossible for me to do all of this as quickly."

Lately, IBM’s cognitive computer Watson successfully diagnosed a woman with a rare form of leukemia which doctors had not detected - see the article here. In the PrECISE project, the Watson cognitiv copmputer is used to mine literature and to analyze incoming data using the developed models and methods in the work packages 4 to 6. 

The following video clip shows Heinz Köppel, professor of Bioinspired Communication Systems at Technical University Darmstadt, in an interview at the Department of Electrical Engineering and Information Technology: Nature's communication is extremely complex, but very efficient - however, it has been subject to little research compared to technical communication solutions. In 2013, TU Darmstadt established the first chair of Bioinspired Communication Systems in Germany.

Moreover, Maria Rodriguez-Martinez of IBM and Peter Wild of University of Zurich bring in their expertise about cancer research and about the fact how big data brings medicine to new dimensions in THIS clip.

The first technical meeting of the PrECISE project took place on 11^th - 12^th July 2016 in Villach, AUSTRIA.

On 11^th - 12^th July 2016, TECHNIKON hosted the PrECISE technical meeting in Villach, Austria. We had a lot of technical discussions ranging from the inference of clonal populations, deep learning techniques and modelling to the production of genomic and proteomic data. The main goal of this meeting was to keep the consortium updated about the ongoing activities of each partner and to foster the collaboration within different research teams. Moreover, we focused on our way forward and planned the upcoming tasks properly. The upcoming months are characterized by loads of exiting research work that will result in promising publications and impact several deliverables.