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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? His work provides insight into AI and big data in relation to pharma and drug discovery– now and in the future. “AI Up front collection and controlling your data! Key opportunties.

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

Drug Discovery World

Drug discovery and development timelines can span 10-15 years or more from initial discovery to market approval and typically require the analysis of massive amounts of data. This knowledge enabled cell line engineering campaigns that boosted yield and stability across various production bottlenecks.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

Researchers from the University of Oslo, University of Chicago Pritzker School of Medicine, and Insilico Medicine used an AI target discovery engine to analyse transcriptomic data to identify dual targets for cancer and ageing 5.

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3 Insights From Re:Imagine Pharma Marketing 2020

Pharma Marketing Network

Re:Imagine Pharma Marketing: How Pharma Marketing is Evolving in 2020. On November 9-11, 2020, Imagine Pharma Marketing held a virtual conference that discussed the roadmap for embedding long term commercial evolution in marketing. These changes include marketing processes, customer engagement, tools and tactics. .

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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. DDW’s Diana Spencer summarises the key trends likely to impact the market in 2023. . There will be greater emphasis on diversity in clinical trials. M&A activity will accelerate.

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