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PHARMACEUTICAL INDUSTRY EVENTS CALENDAR

Symposium on Digitalization and Big Data in Biotech and Pharma

Datahow_Symposium_2018

6 June 2018
ETH Zurich, Institute for Chemical and Bioengineering, Vladimir-Prelog-Weg 1

The Symposium on Digitalization and Big Data in Biotech & Pharma will bring together experts and key stakeholders from industry and academia to discuss and current digital innovations and technological trends in the pharmaceutical sector. The presentations by leading industry experts and technology pioneers are complemented by interactive round table discussions, a netwroking lunch, as well as poster and product solution exhibition. The event is organized by the group of Prof. Morbidelli from the Institute of Chemical and Bioengineering at ETH Zurich, Switzerland, and takes place at the Hönggerberg campus of ETH Zurich.

Aim

The symposium brings together key stakeholders and experts in the interdisciplinary field of technology digitalization in the biotechnological and pharmaceutical sectors. All presentations will be based on industrial case studies. Several characteristic perspectives will addressed such as digital needs in R&D and manufacturing, data storage and cloud solutions, centralization and standardization, automated solutions, added value and knowledge generation, on-site integration and transfer as well as regulatory aspects. The symposium aims to outline the key conceptual and implementation challenges, and to highlight the potential of the tools and approaches, which have already been developed and installed. Given the high levels and diversity of the speakers a list of central business and technology drivers will be worked out, which will be later on available as a white paper.

Key Topics

· Role of big data in the pharmaceutical and healthcare business model

· Technological possibilities and limitations for pharmaceutical process digitalization

· Potential of quantitative tools and models

· Available technology, expertise and solutions

· Regulatory agency perspective

· Successful industrial implementations and outlook

Further information and registration

Please visit https://www.datahow.ch/events or contact bigdata@chem.ethz.ch

email bigdata@chem.ethz.ch
web bit.ly/2Fkd10Q
email ETH Zurich, Institute for Chemical and Bioengineering, Vladimir-Prelog-Weg 1
 
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