Sponsor packages for the CIO Life Sciences Summit offer unique opportunities to engage with attending budget holders and decision-makers. Our event format creates numerous marketing and participation avenues, allowing you to customize your approach and reach attending delegates through the package that best fits your preferences and budget. As sponsor opportunities are limited, inquire now to secure your place!
To view CIO Life Sciences Summit sponsor packages, enter the password below. If you do not have a password and would like to view the event packages, fill out the sponsor registration form and a representative will contact you with more information.
This page is protected.
Please enter the password to proceed:
From pharmaceuticals to global health to the environment, twenty-first century life sciences companies are transforming into data-driven life sciences companies, leveraging vast amounts (and new forms) of data into processes that span from research and development to sales and marketing. As in many industries, the data is explosive: already the rate of data generation in the life sciences has reportedly exceeded that of even the predictions made by Mooreâ€™s Law itself, which predicts the steady continuance of technology capacity to double every two years. With every piece of detailed raw data now able to be affordably stored, managed, and accessed, technologies that analyze, share, and visualize information and insights will need to be ubiquitously operated at this scale too.
Apple and Life Science Research: Enabling Technologies: IDC's Life Science Insights believes that Apple computer products are building upon the long-time loyalty of life science researchers and are attracting new users migrating from Unix and Linux platforms. This white paper, drawing on case study interviews, has identified the key reasons for the popularity of Apple products as well as key challenges for Apple users.
In this white paper we present an FPGA-based accelerated solution for DNA sequencing and dot plotting. We describe how multiple FPGA devices can be deployed to create a scalable cluster dedicated to the task of analyzing large amounts of data, and how this clustered hardware application can be connected to a software application for visualization and analysis.