Search results for " predictive modeling" in Articles / App Notes
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What is mechanistic modeling in chromatography?
Mechanistic models use computer simulations to decrease the number of experiments needed during process development. The simulatio…
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Accelerate Downstream Process Development with Mechanistic Modeling
Learn how mechanistic models allow predictive modeling of your downstream process based on natural scientific principles.
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Going Small to Achieve Success on the Commercial Scale
Scale-down modeling is instrumental in supporting the development of downstream biopharma manufacturing processes.
By Cynthia A. Challener
Biopharmaceutical manufacturing involves a series o…
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Digitalization: The Route to Biopharma 4.0
Industry 4.0, also known as the Fourth Industrial Revolution (4IR), will result in the digital transformation of the manufacturing sector. It is propelled by transformative trends such as the prolif…
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Determining Criticality, Part Two: DoE and Data-Driven Criticality
A practical roadmap in three parts that applies scientific knowledge, risk analysis, experimental data, and process monitoring throughout the three phases of the process validation lifecycle.
T…
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Setting Up Bioprocessing Systems for Digital Transformation
Digitalization of bioprocessing operations, equipment, and facilities can improve workflow and output, but maintaining data integrity is a concern.
By Feliza Mirasol
The advancement of digit…
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Discovering the unknown: How does in silico process development change PD scientists’ work?
In silico process development for chromatography is a paradigm-shifting approach that redefines the routine work of process development scientists. But what does it actually mean to perfor…
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Report from the 6th International HTPD Conference
The biggest challenge is still the people and Quantitative Structure-Activity Relationship (QSAR) plus mechanistic modeling were two key take-home messages from the 6th International conference devote…
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Reimagining Affordable Biosimilars
These failures indicate that there is an urgency for creating approaches based on predictive modeling to understand the relationships between biological pathways, the mechanism of disease pathogenesis…
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Remote Monitoring and Big Data Advance Upstream Automation
Connected, integrated bioprocessing enterprises with greater data analytics capabilities are coming.
By Cynthia A. Challener
As upstream processing drives toward higher efficiencies in meeti…