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Downstream digital twins Biopharma going in silico Cytiva
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Ahc01t9a3UM
Explore the role of digital twin technology in biopharma and its transformative impact on in silico drug discovery. This video explains how digital twins, virtual representations of real-world processes, are reshaping the future of drug development and manufacturing by combining advanced computational techniques with real-world data. • What you’ll learn in this video: • • What is a digital twin in pharma? An introduction to this groundbreaking technology and its applications in medicine and biotech. • • The two main approaches to building digital twins: • 1) Statistical models powered by big data, machine learning, and artificial intelligence for trend prediction and pattern recognition. • 2) Mechanistic models rooted in physical and biochemical principles for accurate process simulation. • • The role of in silico medicine in accelerating drug discovery and optimizing biomanufacturing workflows. • Digital twins in medicine and pharma enable researchers and manufacturers to simulate and predict outcomes, reduce development timelines, and improve efficiency across the drug discovery pipeline. From in silico drug discovery to automated biomanufacturing, this technology is helping drive innovation while reducing costs and environmental impact. • Learn more about in silico approaches in biomanufacturing: https://www.cytivalifesciences.com/en... • Discover how digital technology aids productivity: https://www.cytivalifesciences.com/en... • Dive into the world of digital twin technology and see how it is revolutionizing medicine and drug discovery, enabling a smarter and more efficient future for biopharma. • Chapters: • 00:00:00 Enhancing chromatography with digital twins • 00:00:16 What is a digital twin? • 00:00:32 Utilization of statistical models in AI • 00:00:44 The limitation of data-driven models • 00:00:56 Limitations of correlation-based models • 00:01:09 Introduction to mechanistic models in biochemistry • 00:01:22 Validity of models beyond calibration space • 00:01:36 Creating digital twins with mechanistic models • 00:01:49 Limitations of statistical models • 00:01:57 Understanding mechanistic models and process changes • 00:02:08 Challenges in creating digital twins with mechanistic models • 00:02:19 Simplifying chromatography with Go Silico modeling software • #biopharma #lifesciences #cytiva
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