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Revolutionizing Medicine and Public Health: The Emergence of Big Data in Healthcare

Roots Analysis

Big Data in healthcare refers to the vast amount of data that is continuously expanding and cannot be efficiently stored or processed using traditional tools. It accounts for the majority of big data in healthcare and comprises information, such as medical images, surveys, chats, and written narratives.

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What’s the next step in big data and AI?

Drug Discovery World

Big data and AI are all the rage. But, beyond these buzzwords and the quantity of data, what’s next for these powerful tools? I love innovation and working with incredible minds in the pharmaceutical and life science fields who create amazing new technologies and methods of treatment,” says Groetken.

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Big data – charting a new path to drug discovery and development

Drug Discovery World

Tim Lowery , President, JSR Life Sciences, asks whether artificial intelligence can do for life sciences what it has done in other sectors and whether these tools can keep up with the complexities of human biology. So, where do we go from here to realise their potential in life sciences?

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Synthetic control arms in clinical trials: Making it happen

pharmaphorum

David Clifton is professor of clinical machine learning in the Department of Engineering Science of the University of Oxford. He is also a research fellow of the Royal Academy of Engineering and a fellow of the Alan Turing Institute. Since 2008, he has translated his work into the biomedical context for healthcare applications.

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Drug discovery in 2023: Five key predictions

Drug Discovery World

As 2022 draws to a close, life sciences market analysts attempt to correctly predict what the next 12 months might bring to the drug discovery sector. In summary, 2023 could be a very exciting year for life sciences. DDW’s Diana Spencer summarises the key trends likely to impact the market in 2023. .

Drugs 52
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Bioinformatics Jobs: How to Succeed in This Competitive Space

XTalks

The minimum requirement to become a professional in the bioinformatics field includes having a bachelor’s and master’s degree in bioinformatics, computer engineering, computational biology, computer science, or related field. Bioinformatics Engineer. How to Become a Bioinformatics Engineer. Job Description.

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Empowering rare disease patient advocacy organisations with data

pharmaphorum

Sun says because of this, Komodo engineered solutions or apps that “do certain things for end-users applied against the Healthcare Map.”. Therefore, organisations can determine how they’d like to use the Map’s data then create a software solution that helps them do so. About the author.