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Exscientia and the University of Oxford announce partnership to develop treatments for Alzheimer’s disease

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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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Exscientia, a leading AI Drug Discovery company, has today announced its collaboration with the Alzheimer’s Research UK University of Oxford Drug Discovery Institute (ARUK-ODDI) to develop medicines targeting neuroinflammation for the treatment of Alzheimer’s disease (AD).

AD is the most common form of dementia worldwide, with an estimated 44 million people living with AD or related form of dementia [1,2]. Symptoms of this progressive disease are debilitating, distressing – for both those with the disease and their loved ones –and there is currently no cure [3].

This exciting new partnership unites Exscientia’s AI-driven molecular design capabilities with the deep therapy area knowledge and technical expertise of the ARUK-ODDI.

The collaboration will focus on a specific neuroinflammatory pathway implicated in the development of AD. Activation of the NLRP3 inflammasome has been shown to have an important role in AD pathogenesis and, while there have been other efforts to develop anti-inflammatory drugs for AD [4], targeting NLRP3 inflammasome inhibition in the brain is an innovative therapeutic approach.

Exscientia’s proven AI-driven technology will be applied to efficiently generate high-value novel clinical assets targeting this pathway. Feeding into this are chemical starting points that modulate NLRP3 inflammasome formation identified over years of research by the ARUK-ODDI. Coupling Exscientia’s Centaur Chemist® AI-design systems with the ARUK-ODDI’s biology and screening expertise is expected to speed up delivery of distinct candidate molecules for AD.

Exscientia’s COO David Hallett commented: “Alzheimer’s is a dreadful disease that affects tens of millions worldwide. Despite clinical trials of numerous agents over a wide range of mechanisms, the last new Alzheimer’s medication, was approved nearly two decades ago. Alzheimer’s drug development is costly, complex and extremely challenging with clinical trial failure rate being the highest of any therapeutic area. Our mission is to make novel drugs available to all and we are excited to utilise our AI drug discovery platform and work alongside the expertise of the Alzheimer’s Research UK-Oxford Drug Discovery Institute team to accelerate innovation and develop potential medicines to solve this global epidemic.”

Expanding on this new relationship, Dr John Davis, CSO of the Alzheimer’s Research UK-Oxford Drug Discovery Institute drew attention to the benefits gained from the complementary capabilities of both partners: “We are delighted to be partnering with Exscientia. Their state-of-the-art AI capabilities will enable us to investigate multiple molecules in parallel and accelerate the project towards candidate declaration. Human genetic variation points towards a critical role for the body’s immune system in an individual’s risk of developing Alzheimer’s disease. It is vital that we develop treatments that target neuroinflammatory mechanisms underlying dementia.”

Dr Sara Imarisio, Head of Research at Alzheimer’s Research UK said:
“Scientist’s at our ARUK-Oxford Drug Discovery Institute are ideally placed to capitalise on the latest discoveries and work with partners to help translate this into drugs that could be tested in clinical trials. With nearly one million people in the UK living with dementia, there isn’t a moment to waste.”
About Exscientia

Exscientia is an Artificial Intelligence (AI)-driven pharmatech, committed to discovering medicines in the fastest and most effective manner for patients. As a clinical stage company, Exscientia is the first to progress AI-designed small molecules into a clinical setting, demonstrating the ability of AI to transform the pharmaceutical industry.

Drug design is precision engineering at the molecular scale. To transform the industry, Exscientia has built dedicated AI systems that efficiently learn from the widest range of data and consistently re-apply enhanced knowledge through iterations of design. Because Exscientia’s AI systems learn more rapidly and effectively than human-led efforts, candidate molecules satisfying complex therapeutic requirements are discovered with revolutionary efficiency.

Exscientia puts AI at the centre of its strategy to revolutionise drug discovery, designing therapeutics for areas of high unmet need, that will positively impact patients.

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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. 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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. 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