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Webinar: Accelerating CHO Media Development: From High-Throughput Screening to AI-Guided Design
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Ready to rethink cell culture media development? Discover how high-throughput screening, process analytics, and AI-guided modeling can transform CHO media and feed optimization. This Thermo Fisher Scientific webinar explores ways to reduce experimental burden, navigate complex formulation spaces, and replace trial-and-error with faster, more predictive strategies. Gain practical insights to accelerate development and make smarter, data-driven decisions. Click here to learn more.
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FOCUS ON UPSTREAM MANUFACTURING
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By William Whitford, Oamaru BioSystems
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AI algorithms can reduce data dimensionality more faithfully by interpreting multivariate features relevant to prediction or control.
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The Scale-Up Of A Transient rAAV8 Production Process
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Poster | By T. Falkman, J. Viiliäinen, K.E. Cybulski, B. Hudjetz, M. Mühle, and T. Erlandson, Cytiva
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New approaches to suspension cell culture and process scaling enable consistent, high-titer rAAV production. Gain insight into a clearer path to scalable manufacturing for gene therapy pipelines.
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From DNA To IND: Accelerated Development Backed By Experience
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Article | By Dr. Megan Mason and Dr. James Berry, Lonza
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A rapid, integrated biologics development strategy can achieve IND readiness in as little as six months by combining parallel workflows, early risk mitigation, advanced technologies, and more.
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Overcoming Challenges To The Commercialization Of Therapies
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Poster | By Jiasong Jiang, Leila M. Aneke, F. Michael Haller, et al., Lonza
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Review the results obtained for our proprietary HEK293T 2G7 suspension cell line for LVV production by transient transfection in serum-free, chemically-defined and animal component-free media.
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Take The Turbulence Out Of Your Transfections
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Webinar | Mirus Bio
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Run-to-run AAV titer variability can jeopardize production. Controlling incubation timing, DNA input, and media conditions improves yield and batch consistency.
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UPSTREAM MANUFACTURING SOLUTIONS
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| Connect With Bioprocess Online: |
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