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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? ” and “ Why a recent advancement is a giant leap for human genomics ”.

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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. Biomarker discovery is becoming a vibrant area for exploiting the power of AI and ML.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

Verge Genomics’ potential amyotrophic lateral sclerosis (ALS) treatment VRG50635 is one of the first drugs to enter clinical trials that was entirely discovered and developed using an AI-enabled platform 6. “For Automation is also being applied to genomics sample preparation, an area that requires particular robustness and scalability.

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Bioinformatics Jobs: How to Succeed in This Competitive Space

XTalks

The Human Genome Project could not have succeeded without the use of bioinformatics. 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.

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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.” – ? Research into genomic medicines is only at its infancy. Chris Nowers, CEO, ONK Therapeutics. . “

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Can artificial intelligence help craft new medicines?

Drug Discovery World

Recombinant DNA technology and improved protein purification techniques further contributed to our understanding and explorations of drug targets. Big data handling and machine learning made progress by leaps. For instance, most successful drug targets were proteases and G-protein coupled receptors with definite characteristics.

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New HIV variant highlights the importance of monitoring virus mutations

pharmaphorum

Led by researchers from the University of Oxford ‘s Big Data Institute, the study underscores the significance of analysing viruses continually over time. BEEHIVE’s researchers opted to use whole-genome sequencing (WGS) to evaluate the virus’ transformations over time. The VB variant. About the author.

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