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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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#news #biotech Scientists are on a path to sequencing 1 million human genomes and use big data to unlock genetic secrets

BioTech 365

Biotechnology, Pharma and Biopharma News – Research – Science – Lifescience ://Biotech-Biopharma-Pharma: Scientists are on a path to sequencing 1 million human genomes and use big data to unlock genetic secrets.The first draft of the human genome was published … Continue reading →

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Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research

ACRP blog

If you hadn’t already noticed, the clinical research enterprise has well and truly entered the era of “big data,” artificial intelligence (AI), and machine learning. Edited by Gary Cramer The post Recognizing the Real People Behind the Big Data and Artificial Intelligence in Clinical Research appeared first on ACRP.

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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. One system that has been especially useful in generating relevant and accurate biological data is the patient- derived xenograft (PDX) model for cancer studies.

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The future of AI drug discovery & development in immunology and GPCR research

pharmaphorum

Essentially, the collaboration brought together both “the right expertise and the right technology”, opening up myriad possibilities for targeting GPCRs within the human genome. Verily’s Immune Profiler can, Kim asserted, “generate more than 8 million immune measures across 24 immune cell subsets”. What, then, is the solution?

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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. Bioinformatics Engineer.

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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. Automation is also being applied to genomics sample preparation, an area that requires particular robustness and scalability.