AI algorithms can reduce data dimensionality more faithfully by interpreting multivariate features relevant to prediction or control.
- Building Trust In AI For Computerized System Validation
- A Gentler Cell Line Selection Method Using microRNA
- When To Trust And When To Verify AI-Enabled Validation Systems
- CDMO Quality Oversight: How FDA And Pharma Leaders Are Rethinking Data, AI, And Culture
- A QMS That Anticipates Cell And Gene Therapy Quality Challenges
- Using Digital Platforms To Find Your CDMO
- Controls For Retrieval-Augmented Generation In GxP
EDITOR'S DESK
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Multispecific Manufacturability Starts With Molecular Design
AP Biosciences’ VP of antibody discovery, Jhong-Jhe You, Ph.D., explains the key design elements of multispecific antibodies and how they affect product developability.
At the 2026 BIO International Convention, Bioprocess Online caught up with Johanna Kaufmann, Ph.D., CSO at Deck Bio, a company developing multi-targeted T-cell engagers for solid tumors.
Bioprocess Online's chief editor, Tyler Menichiello, shares his key takeaways from the 2026 BIO International Convention in San Diego.
Exclusive coverage from John Crowley's press conference at the 2026 BIO International Convention in San Diego.
Noveome Biotherapeutics's Larry Brown, Sc.D., explains the regulatory and CMC challenges behind the company's novel secretome therapy, ST266.
GUEST COLUMNISTS
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Building Trust In AI For Computerized System Validation
Using AI for CSV might feel like the students are grading their own papers. One consultant explains why it's not the same, namely, there are no subjective judgment calls.
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A Gentler Cell Line Selection Method Using microRNA
Traditional selection stresses surviving cells. New research shows how structurally interacting RNA may use endogenous microRNA for a faster, nontoxic selection process.
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When To Trust And When To Verify AI-Enabled Validation Systems
Computer software assurance, coupled with AI, can help validation teams reduce redundant work and spend more time on patient-centric issues.
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CDMO Quality Oversight: How FDA And Pharma Leaders Are Rethinking Data, AI, And Culture
Discover strategies for risk-based governance, AI-enabled quality management, stronger collaboration, and fostering a culture that supports long-term operational excellence.
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Using Digital Platforms To Find Your CDMO
In recent years, digital platforms have emerged to help pharma/biotech companies discover, evaluate, and connect with CDMOs more efficiently. These resources have different functions and limitations.
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A QMS That Anticipates Cell And Gene Therapy Quality Challenges
Some quality system elements are non-negotiable in Phase 1 cell and gene therapy. For the rest, a risk matrix can help define flexible, defensible specifications.
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Controls For Retrieval-Augmented Generation In GxP
Validation teams deal with inherent variability all the time. The same principles for GMP — think visual inspection — can apply to probabilistic AI systems.
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July 2026 — CDMO Opportunities And Threats Report
Each month, Outsourced Pharma works in conjunction with PharmSource, part of GlobalData, to present its “Contract Manufacturing: Opportunities and Threats (CMOT) Report” to our readers. The report identifies CDMOs that might be impacted by key events affecting their clients, including company acquisitions, product acquisitions and licenses, product approvals, late clinical product terminations, and FDA rejections.
BIOPROCESSING WHITE PAPERS
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Stabilizing Your Supply Chain In Times Of Global Volatility
Discover how a proactive, risk-based supply chain strategy can help strengthen resilience, mitigate disruption, and ensure continuity across your biotech and pharmaceutical operations.
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Accelerate Lead Times Through Seamless External Collaboration In Quality5/21/2026
As CDMO networks expand, disconnected quality processes create delays and risk. Learn how seamless external collaboration improves visibility, accelerates approvals, and strengthens sponsor–partner relationships—helping teams move faster without compromising compliance.
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Biomanufacturing Readiness: A Validation Model For Multiproduct Facilities6/12/2025
Optimize your validation strategy to meet evolving regulatory demands and product complexities with a scalable, efficient framework that accelerates facility readiness and ensures consistent quality.
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From Process Monitoring To Manufacturing Intelligence: Real-Time Analytics And Predictive Control In Biomanufacturing6/19/2026
Advanced analytics, predictive modeling, explainable AI, and digital twins are helping biomanufacturers improve process visibility, anticipate outcomes, and support smarter operational decisions.
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FIH: Reach Milestones Sooner With A Technology-Driven Approach2/12/2026
Accelerate your path to IND and FiH with AI-driven design, advanced cell line engineering, and intensified processes delivering high titers in 9–14 months.
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Vial Breakage During Lyophilization: Root Causes And Mitigation10/16/2024
Learn how controlling freezing rates, using specialized vials, and employing optimized stoppering techniques can reduce the risk of vial breakage during lyophilization and ensure high product quality.
BIOPROCESSING APP NOTES & CASE STUDIES
- Elevating Downstream Process Development With Real-Time Data Monitoring
- Success Story: Increased Productivity With Concentrated Fed-Batch
- Removing Bacteria In Biopharmaceutical Formulation And Filling Systems
- Transforming Development Through Mass Spectrometry Data Analysis
- Advanced Aseptic Filling Assembly Helium Integrity Testing
- Evaluating The Levers Driving Productivity In Bioprocessing
- Overcoming Recovery Challenges In AAV Production
- Preserving Tacit Knowledge In ADC Tech Transfers
- Multispecific Manufacturability Starts With Molecular Design
- On The Ground At BIO 2026: Johanna Kaufmann, Ph.D., On The Oncology Modality Puzzle
- BIO 2026: Modernizing The FDA And Bolstering The Workforce
- BIO 2026: Crowley On Competing With China And Modernizing The FDA
BIOPROCESS ONLINE CONTENT COLLECTIONS
This collection of articles digs into the industry’s growing focus on knowledge management as an indispensable facet of biomanufacturing and pharmaceutical development, exploring how it plays into risk management, quality, vendor relationships, and supply chain resilience.
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