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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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New podcast on the future for genomics and big data

Drug Discovery World

This is the latest episode of the free DDW narrated podcast, “What lies in the future for genomics and big data?”, They are called “ What’s the next step in big data and AI? ” Listen here: The post New podcast on the future for genomics and big data appeared first on Drug Discovery World (DDW).

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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. The post Big data – charting a new path to drug discovery and development appeared first on Drug Discovery World (DDW).

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Next Generation Biomanufacturing – The Upcoming Era of Digital Transformation

Roots Analysis

Further, during the period 2011-2014, pharma industry started adopting and implementing technologies, such as big data, AI, machine learning and IoT. Technologies, such as PAT and MES, were introduced pre-2000; however, in the field of biomanufacturing, these technologies were recognized and acknowledged in 2004.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

To embrace them fully, we will need to be prepared for the regulatory challenges presented by this quickly evolving ecosystem,” says Jesper Kjær, Director of the Data Analytics Centre at the Danish Medicines Agency and co-chair of the joint HMA-EMA Big Data Steering Group (BDSG).

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Bioinformatics Jobs: How to Succeed in This Competitive Space

XTalks

Specific skills are required to succeed in this job; these include advanced writing skills for scientific literature, developing software tools, working on genome sequencing projects, and designing DNA sequencing libraries. The emergence of big data has made bioinformatics a crucial and competitive field of work.

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The challenges and trends of cell & gene therapies 

Drug Discovery World

The use of big data and AL to direct the best patient candidates for CGT and to provide the best understanding of efficacy and benefits.” – ? Development of specific therapeutic DNA/RNA sequences is relatively straightforward so the biggest challenge is translating exogenous sequences into therapeutic drugs.