Computer-Aided Biology: The Metadata Responsibility

New whitepaper by Synthace highlights the crucial role of metadata in an AI and automation powered lab of the future

LONDON June 17, 2020 - Synthace Ltd, the company behind Antha, the cloud-based software platform for automating and improving the success rate of biological processes, is pleased to announce it has released a new comprehensive whitepaper entitled Computer-Aided Biology: The Metadata Responsibility.

AI needs metadata

The future of biological research and development must be built on a foundation of well-contextualized data. The integration of technologies such as artificial intelligence, lab automation, and the internet of things is beginning to enable researchers to address ever-more-complex biological questions across a rapidly expanding bioeconomy. However, the ability to use these tools successfully requires a fundamental shift in how we generate biological data. Data is of value when it is associated with contextual metadata of how the data was produced. It is therefore imperative that rich metadata is harvested at the point of data creation and associated with that data in a complete data package.

According to the report, many initiatives are being formed to enable the sharing or structuring of biological data - with the end goal being the ability to leverage artificial intelligence. However, to complement these initiatives, it is important to focus on how this data is being generated in the lab. Critically, systems that allow for the smart definition and capture of richer datasets at the beginning of the data journey will be vital to unlocking AI's power in the experimental sciences.

"We're pleased to offer these insights around the importance of collecting comprehensive metadata," said Tim Fell, CEO Synthace. "In this follow up to our pioneering whitepaper Computer-Aided Biology: Delivering biotechnology in the 21st century, we highlight the crucial responsibility to define, capture, and combine metadata at the point of creation. The current practice where users spend considerable time trying to back contextualize experimental datasets is not fit for purpose in an AI and automation powered laboratory."

"This whitepaper shows that Synthace is a leading voice in the global conversation about how to make biotechnology more of an engineering discipline. This is also why we have built our Antha platform, which solves the challenges of collecting comprehensive metadata at the time a biological experiment is performed," Fell concluded.

The full detailed whitepaper can be found on the following link

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About Synthace

Based in London, UK, and Boston, the US, Synthace is accelerating biological discovery & optimization through computer-aided biology. Our cloud software platform, Antha, empowers biologists by enabling them to flexibly program their lab automation without the need to code. The graphical user interface has been designed by biologists for biologists, intuitively enabling them to automate their whole experiment from planning to execution, data collection, and analysis. Antha is the cornerstone of the lab of the future, seamlessly connecting the digital realm of data with the physical of lab automation and wet-lab biology, automatically collecting and structuring data to accelerate biological understanding. Synthace is unlocking the potential of biology for humankind and our environment. Synthace works with biopharmaceutical companies, and in 2016 was recognized by the World Economic Forum as a Technology Pioneer that is helping shape the Fourth Industrial Revolution, and in 2018 as a Cool Vendor by Gartner.

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