Search results for " machine learning"
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Successfully Moving Regulated Data to the Cloud
Businesses are turning to emerging technologies such as machine learning and artificial intelligence to see if the data collected can be enhanced to gain more value and speed up the decision-making pr…
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Cell-Culture Advances Test Bioreactor Performance Models
One area of rapid development involves the potential application of artificial intelligence (AI) and machine learning (ML) to bioreactor performance modeling. Bioengineers are beginning to discuss how…
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Digitalization: The Route to Biopharma 4.0
This knowledge transfer can be channeled through process models that can be mechanistic, statistical, machine learning, or hybrid. Digital twins are becoming quite popular as a potential source of dat…
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Remote Monitoring and Big Data Advance Upstream Automation
“Automation feedback control loops and advanced machine learning models can be used as part of this approach for model predictive control. Integrated process alerts help to determine prescriptive acti…
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Setting Up Bioprocessing Systems for Digital Transformation
“AI in its classical sense is based on a statistical ‘black-box’ approach: statistical approaches such as big data or machine learning utilize statistics to predict correlations, trends, and patterns.…
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Gene Therapies Push Viral Vector Production
Gene Therapies Push Viral Vector Production
Viral vectors show promise as a delivery mechanism for gene therapy, but which virus types are commercially viable?
By Feliza Miraso…
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Maximizing the Effectiveness of Upstream Bioprocessing Through the Combination of Lab Informatics and Instrumentation
…ctivities and are particularly important for advanced analytics, such as artificial intelligence and machine learning (7).
Although interest in FAIR principles is high, adoption is still slow due…
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The Need for Advanced Process Modeling for New Therapeutic Biologics
“Using model outputs linked with experimental and, where it exists, production data opens significant opportunities to apply machine learning techniques and build knowledge that has applications acros…
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ML and AI Implementation Insights for Bio/Pharma Manufacturing
A recent survey of biopharma industry manufacturing leaders found that creating machine learning (ML) and artificial intelligence (AI) solutions catering to manufacturing segments can quickly…
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Top Process Development Trends for 2022 and a Look into 2023
…eed for reduced timelines, which accelerated the ongoing Industry 4:0 analytics, digitalization, and machine learning deployment programs.
As we move into 2023, let’s look back at some of the mo…