This whitepaper outlines how the collaboration of organizations across science-based industries and their leveraging of advanced technology will improve lab processes and productivity. Digitalization will accelerate scientific creativity, bringing better products to market faster. Together these trends will not just benefit science but enable better care for patients as well.
White Papers
08 March 2018
With the rapid adoption of cloud computing, learn how Thermo Scientific™ Chromeleon™ CDS supports moving from a traditional on-premise setup to a cloud based deployment and associated benefits and challenges.
12 February 2018
21 CFR Part 11 requires Food and Drug Administration (FDA)-regulated industries, including medical device manufacturers, drug makers, biotech companies and biologics developers, to have validation documentation and implement controls such as audit trails and electronic signatures
31 January 2018
R&D-driven industries talk a lot about progressing towards the paperless laboratory. The ultimate aim is to capture and store all experimental, process, inventory and results data, from the earliest stages of discovery, through to manufacturing, QA/QC and even instrument management, in an electronic format
03 August 2017
Data governance is an integral part of a regulated company’s quality system. Having a chromatography data system can simplify system administration and ensure regulatory compliance (including 21 CFR Part 11) and adherence to data integrity guidelines.
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Researchers at Harvard Medical School (HMS) have released an open source drug discovery platform, VirtualFlow, that harnesses supercomputing power to screen potentially billions of small organic compound structures in parallel, in the hunt for promising new drug molecules.
When designing a component or system, where do you start? In days gone by, designers would literally go back to the drawing board, using their experience and expertise to develop a new concept.
Effective utilisation of computing tools is critical to both AI and HPC research, with recent projects in both fields highlighting the scientific benefit of carefully managing resources.
Advances in computer vision combined with AI computing are helping pathologists to more accurately identify subtypes of cancer - leading to better treatments for patients, explains Dan Ruderman.
