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Managing Quality and Regulatory Risks in Pharmaceutical Technology Transfer

Technology transfer moves more than manufacturing instructions. It moves process knowledge, supplier dependencies, labeling requirements, packaging specifications, and the evidence needed to demonstrate control. For medical device manufacturers, including those supporting drug-device combination products, these interfaces can become recurring sources of compliance gaps during site transitions, acquisitions, and remediation. The central problem is often not a missing procedure. It is a quality system that allows connected activities to change independently. A label revision may be approved while packaging artwork, supplier instructions, or production-system data still reflect an obsolete version. Staying inspection-ready requires manufacturers to manage these dependencies as one controlled system. Why Compliance Gaps Keep Recurring Findings are treated as documentation defects Revising a procedure can resolve an immediate discrepancy without changing the behavior that caused it. If unclear decision rights, weak escalation, or ineffective training remain, the same failure may surface elsewhere. Corrective and preventive action should distinguish the observed finding from its underlying cause and establish how effectiveness will be demonstrated. Ownership is divided across connected functions Quality, Regulatory Affairs, labeling, packaging engineering, operations, suppliers, and digital-system owners often maintain separate workflows. Each team may complete its assigned task while an interface remains uncontrolled. For example, changing an instruction for use can affect packaging configuration, translations, technical documentation, inventory disposition, and release controls. Transitions expose unresolved weaknesses Acquisitions and site transfers can introduce conflicting procedures, incomplete knowledge transfer, or different assumptions about validated processes. Regulatory changes add further demands. When these events coincide with CAPA or change-control backlogs, teams may prioritize administrative closure over risk reduction. Without a coordinated impact assessment, local fixes can create new gaps downstream. Establish the Regulatory Baseline Inspection readiness starts with knowing which requirements apply to the product, activity, and market. Pharmaceutical, device, and combination-product obligations are not interchangeable; transfer planning should identify the applicable requirements rather than assume one quality framework covers every operation. According to FDA’s Quality Management System Regulation overview and FAQs, the QMSR became effective on February 2, 2026, incorporates ISO 13485:2016 by reference, and introduced the updated device inspection process under Compliance Program 7382.850. ISO 13485 certification does not exempt a manufacturer from FDA inspection or guarantee compliance with FDA requirements. For devices marketed in the European Union, Regulation (EU) 2017/745, Annex I, Section 23, provides the primary requirements for information supplied with devices, including labels and instructions for use. Teams should assess the applicable provisions alongside relevant language, product-specific, and market requirements. A labeling review should therefore evaluate required content and consistency with the device’s intended purpose and supporting documentation—not merely artwork accuracy. How to Identify the Real Gaps Begin with a cross-functional assessment that follows actual product and information flows. Select representative transfers, label changes, supplier changes, and CAPAs, then trace each from initiation through implementation and effectiveness review. Map dependencies: Identify affected specifications, suppliers, packaging components, systems, validation activities, and training. Compare records with practice: Check whether approved procedures match what operators and reviewers actually do. Test traceability: Follow a requirement through technical documentation, labeling, production instructions, and release evidence. Examine recurrence: Look for repeated deviations, reopened actions, overdue changes, and findings shared across sites. Assess capacity: Determine whether qualified owners have enough time and authority to complete corrective work. Prioritize gaps by potential patient or user harm, regulatory impact, likelihood of recurrence, and detectability. Document the rationale; an old overdue item is not automatically more important than a newly identified high-risk weakness. Align Quality, Labeling, Packaging, and Change Control Create a coordinated remediation plan with one accountable owner for each action, named contributors, acceptance criteria, and required evidence. Separate immediate containment from systemic correction. Containment might prevent obsolete labels from being issued; correction might redesign approval and implementation controls so obsolete versions cannot return. Use change control as the integration point. Before approval, evaluate effects on regulatory submissions or notifications, technical documentation, supplier controls, packaging performance, validation, electronic master data, inventory, and training. Record both identified impacts and justified decisions that particular activities are unaffected. During technology transfer, define readiness gates before production or release responsibilities move. These should address the transfer of process knowledge, acceptance criteria, receiving-site capability, required qualification or validation, approved documents, and personnel competence. The appropriate evidence depends on the product and process; a generic checklist cannot replace a documented assessment. Finally, verify implementation where the work happens. Confirm that current instructions are available, suppliers received approved requirements, systems contain correct versions, and affected personnel can perform their tasks. A signed approval is not evidence that every downstream change took effect. Mistakes That Undermine Inspection Readiness Closing CAPAs on task completion alone: Effectiveness checks should test whether the underlying failure has been controlled. Updating labels in isolation: Assess packaging, supplier, system, documentation, and inventory consequences. Counting closures instead of evidence: Dashboards need defensible records behind their status indicators. ...

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A novel artificial intelligence tool can help predict the functions of enzymes on the basis of their amino acid sequences, even when the enzymes are unstudied or not clearly understood.

As per the researchers, the AI tool called CLEAN outshines the leading top-notch tools in accuracy, dependency, and sensitivity. Apparently, a clearer understanding of enzymes as well as their functions will prove to be a big push for research as far as chemistry, genomics, medicine, pharma, industrial materials, etc. are concerned.

The study leader, Huimin Zhao, from the University of Illinois, states that just as the ChatGPT makes use of the data from written languages to create predictive text, they happen to be leveraging the protein language so as to predict their activity. He adds that almost all the researchers, when working on a novel protein sequence, intend to know without delay what the protein is up to. Besides, when it comes to making any applications, be it in medicine, biology, or industry, this tool will aid researchers in rapidly identifying the appropriate enzymes that are required for the synthesis of materials and chemicals.

The researchers are on the verge of publishing their assessment and, thereby, making CLEAN accessible online from March 31.

Due to the advances made in genomics, numerous enzymes have been pinpointed as well as sequenced, but the researchers have little or no data on what the enzymes are up to, commented Zhao, one of the members of the Carl R. Woese Institute at Illinois.

Apart from this, other computational tools intend to predict the enzyme functions. They look to assign an enzyme commission number, which happens to be an ID code that puts into focus what kind of reaction an enzyme can catalyse by way of comparing queried sequences to that of the enzyme catalogue as well as findings that are of similar sequences. That said, these tools do not work as well as they should with the less studied enzymes or even with enzymes that are known to perform multiple tasks.

Zhao adds that they aren’t the first when it comes to using the AI tools to forecast the enzyme commission numbers, but they are indeed the first to use the novel deep learning algorithm that happens to be working much better as compared to the AI tools used by others.

There is no guarantee that everybody’s product will be accurately predicted, but having said that, there is always the possibility of getting more accuracy compared to the other couple of methods.

The researchers have already verified the tool by way of an experiment using both in vitro and computational experiments. The inference was that not only was the tool able to predict the operations of the previously uncharacterized enzymes, but the correction of mislabelled enzymes by a leading software was done with either two or more functions.

Apparently, Zhao’s group is planning to make CLEAN accessible online so that other researchers who are looking to characterise an enzyme or gauge whether it could catalyse a desired location can do so. They hope that this tool is going to be helpful and used widely by the broad research community. The researchers just have to enter the sequence in a search box by way of a web interface and get the results.

As per Zhao, the group is planning to broaden the AI behind CLEAN so as to characterise certain other proteins as well, like the binding ones. The team is hopeful about further developing the machine learning algorithms so that the users search for a desired location and the AI pinpoints the proper enzyme for the job.

He further opines that there are many uncharacterized binding proteins, like the receptors, as well as transcription factors. They are looking to predict the functions of each and every protein so they are able to gauge all the proteins a cell has and thereby better study the entire cell for applications related to biomedical or biotech.

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Related stories

Managing Quality and Regulatory Risks in Pharmaceutical Technology Transfer

Technology transfer moves more than manufacturing instructions. It moves process knowledge, supplier dependencies, labeling requirements, packaging specifications, and the evidence needed to demonstrate control. For medical device manufacturers, including those supporting drug-device combination products, these interfaces can become recurring sources of compliance gaps during site transitions, acquisitions, and remediation. The central problem is often not a missing procedure. It is a quality system that allows connected activities to change independently. A label revision may be approved while packaging artwork, supplier instructions, or production-system data still reflect an obsolete version. Staying inspection-ready requires manufacturers to manage these dependencies as one controlled system. Why Compliance Gaps Keep Recurring Findings are treated as documentation defects Revising a procedure can resolve an immediate discrepancy without changing the behavior that caused it. If unclear decision rights, weak escalation, or ineffective training remain, the same failure may surface elsewhere. Corrective and preventive action should distinguish the observed finding from its underlying cause and establish how effectiveness will be demonstrated. Ownership is divided across connected functions Quality, Regulatory Affairs, labeling, packaging engineering, operations, suppliers, and digital-system owners often maintain separate workflows. Each team may complete its assigned task while an interface remains uncontrolled. For example, changing an instruction for use can affect packaging configuration, translations, technical documentation, inventory disposition, and release controls. Transitions expose unresolved weaknesses Acquisitions and site transfers can introduce conflicting procedures, incomplete knowledge transfer, or different assumptions about validated processes. Regulatory changes add further demands. When these events coincide with CAPA or change-control backlogs, teams may prioritize administrative closure over risk reduction. Without a coordinated impact assessment, local fixes can create new gaps downstream. Establish the Regulatory Baseline Inspection readiness starts with knowing which requirements apply to the product, activity, and market. Pharmaceutical, device, and combination-product obligations are not interchangeable; transfer planning should identify the applicable requirements rather than assume one quality framework covers every operation. According to FDA’s Quality Management System Regulation overview and FAQs, the QMSR became effective on February 2, 2026, incorporates ISO 13485:2016 by reference, and introduced the updated device inspection process under Compliance Program 7382.850. ISO 13485 certification does not exempt a manufacturer from FDA inspection or guarantee compliance with FDA requirements. For devices marketed in the European Union, Regulation (EU) 2017/745, Annex I, Section 23, provides the primary requirements for information supplied with devices, including labels and instructions for use. Teams should assess the applicable provisions alongside relevant language, product-specific, and market requirements. A labeling review should therefore evaluate required content and consistency with the device’s intended purpose and supporting documentation—not merely artwork accuracy. How to Identify the Real Gaps Begin with a cross-functional assessment that follows actual product and information flows. Select representative transfers, label changes, supplier changes, and CAPAs, then trace each from initiation through implementation and effectiveness review. Map dependencies: Identify affected specifications, suppliers, packaging components, systems, validation activities, and training. Compare records with practice: Check whether approved procedures match what operators and reviewers actually do. Test traceability: Follow a requirement through technical documentation, labeling, production instructions, and release evidence. Examine recurrence: Look for repeated deviations, reopened actions, overdue changes, and findings shared across sites. Assess capacity: Determine whether qualified owners have enough time and authority to complete corrective work. Prioritize gaps by potential patient or user harm, regulatory impact, likelihood of recurrence, and detectability. Document the rationale; an old overdue item is not automatically more important than a newly identified high-risk weakness. Align Quality, Labeling, Packaging, and Change Control Create a coordinated remediation plan with one accountable owner for each action, named contributors, acceptance criteria, and required evidence. Separate immediate containment from systemic correction. Containment might prevent obsolete labels from being issued; correction might redesign approval and implementation controls so obsolete versions cannot return. Use change control as the integration point. Before approval, evaluate effects on regulatory submissions or notifications, technical documentation, supplier controls, packaging performance, validation, electronic master data, inventory, and training. Record both identified impacts and justified decisions that particular activities are unaffected. During technology transfer, define readiness gates before production or release responsibilities move. These should address the transfer of process knowledge, acceptance criteria, receiving-site capability, required qualification or validation, approved documents, and personnel competence. The appropriate evidence depends on the product and process; a generic checklist cannot replace a documented assessment. Finally, verify implementation where the work happens. Confirm that current instructions are available, suppliers received approved requirements, systems contain correct versions, and affected personnel can perform their tasks. A signed approval is not evidence that every downstream change took effect. Mistakes That Undermine Inspection Readiness Closing CAPAs on task completion alone: Effectiveness checks should test whether the underlying failure has been controlled. Updating labels in isolation: Assess packaging, supplier, system, documentation, and inventory consequences. Counting closures instead of evidence: Dashboards need defensible records behind their status indicators. ...

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