AGENDA AT A GLANCE
8:00
Registration & Welcome Coffee
Biologics Manufacturing Strategy
9:00
AI-Driven Biologics Manufacturing: Building Smarter, Faster & More Resilient Operations
- Integrating AI to optimize upstream and downstream bioprocess parameters in real time
- Using predictive analytics to reduce batch failures and improve yield consistency
- Enabling faster tech transfer and scale-up through digital twins and simulation models
- Strengthening supply chain resilience with AI-driven demand forecasting and risk detection
9:30
Evaluating and implementing new bioprocessing technologies
- Assessing emerging bioprocessing platforms for scalability, robustness, and regulatory fit
- Running feasibility studies and pilot trials to validate performance and integration potential
- Aligning technology adoption with manufacturing strategy, cost efficiency, and quality requirements
10:00
Supply Chain - Intelligence to Increase the Volume & Velocity of Decisions (TBC)
- Leveraging real-time data analytics to improve visibility across end-to-end biologics supply networks
- Using AI-driven forecasting to accelerate decision-making on demand shifts, capacity, and inventory
- Integrating cross-functional data streams to reduce bottlenecks and improve responsiveness
- Enhancing risk detection and scenario planning to support faster, more confident supply chain decisions
10:30
Networking Break
Next-Gen Upstream Processing: Intensification & Perfusion
11:10
From Batch to Continuous: When Continuous Manufacturing Makes Economic Sense in High-cost Markets
- Evaluating the cost-benefit of continuous vs batch manufacturing
- Fewer operators and smaller facilities help offset high labor and real estate costs.
- Works best with predictable demand and long production runs to maximize asset utilization.
- Real-time monitoring reduces deviations and accelerates time-to-market, improving overall economics.
11:40
Reserved for Solution Provider
12:10
Unlocking Biologics Manufacturing Potential: Case Studies in Data Science Applications
- Applying data science to optimize upstream and downstream process performance and reduce variability
- Using advanced analytics to identify root causes of batch deviations and improve yield consistency
- Leveraging predictive models to enhance process control, scale-up success, and tech transfer efficiency
- Demonstrating real-world case studies where data-driven insights improved cost, quality, and time-to-market
13:00
Lunch & Poster Presentation
Downstream Purification Optimisation
14:00
AI-Enabled Downstream Purification Optimisation: Improving Yield, Purity & Process Robustness
- Optimising chromatography and filtration steps using data-driven process modelling and real-time monitoring
- Reducing product loss and impurity breakthrough through improved control of critical process parameters
- Integrating PAT and advanced analytics to enable faster troubleshooting and cycle time reduction
- Enhancing scalability and robustness of purification processes from lab to commercial manufacturing
14:30
Reserved for Solution Provider
15:00
Achieving Substantial Cost Savings through Downstream Process Optimization
- Reducing buffer consumption, resin usage, and cycle times through intensified and optimised purification strategies
- Improving yield recovery and product consistency to minimise batch losses and reprocessing costs
- Implementing advanced analytics and PAT tools to enable real-time control and efficiency gains
- Streamlining downstream workflows to lower overall COGS while maintaining quality and regulatory compliance
15:30
Networking Break
17:00
Cocktail Reception
18:00
END OF DAY 1
8:50
IMAPAC & Chairman's Welcome Address
AI & Data Analytics for Process Robustness
9:00
Opening Keynote: Data-Driven Biopharma: Integrating Real-World Evidence into Development and Lifecycle Strategy
- Leveraging real-world evidence (RWE) to complement clinical trial data and strengthen regulatory and payer submissions
- Integrating diverse data sources to identify patient subgroups, treatment outcomes, and unmet medical needs
- Using advanced analytics to support lifecycle management, label expansion, and post-market surveillance
- Enabling faster, more informed decision-making across development, commercialization, and market access strategies
10:00
AI-Driven Biostatistics in Biologics: Turning Clinical & Manufacturing Data into Actionable Decisions (TBC)
- Leveraging AI and advanced biostatistics to improve study design, power calculations, and trial efficiency
- Integrating clinical and manufacturing datasets to identify variability drivers and improve product consistency
- Applying predictive modelling to support faster decision-making in development and regulatory submissions
- Enhancing data interpretation frameworks to translate complex datasets into actionable process and clinical insights
10:30
Networking Break
Building Future-Ready Biomanufacturing Capacity
11:40
Managing Capacity Volatility & Procurement Risk in Biologics Manufacturing
- Building flexible capacity strategies across internal sites and CDMO networks to absorb demand fluctuations
- Strengthening supplier diversification and dual-sourcing to reduce single-point-of-failure risks
- Using predictive analytics to anticipate capacity constraints, lead-time shifts, and material shortages
- Enhancing procurement governance and inventory strategies to ensure continuity under market and supply volatility
12:10
Vaccine manufacturing networks in Low- and Middle-Income Countries
- Strengthening regional vaccine manufacturing capacity and supply resilience in LMICs
- Building sustainable technology transfer and local manufacturing partnerships
- Overcoming infrastructure, workforce, and regulatory challenges across emerging markets
- Enhancing equitable access through scalable and future-ready vaccine manufacturing networks
13:00
Lunch & Poster Presentation
Supply Chain Resilience and Logistics
14:00
Building Anti-Fragile Supply Chains: AI, Predictive Analytics, and Geographic Diversification
- Leveraging predictive analytics to anticipate and mitigate disruptions
- Diversifying supply chains to reduce geographic risk
- Enhancing visibility and responsiveness through digital tools
- Building resilient and adaptive supply chain strategies
14:30
Typical watchouts to best design commercial supply chain before launches for small biotechs
- Identifying common pitfalls in early supply chain planning
- Aligning production capacity with launch forecasts and demand
- Managing limited resources while ensuring scalability
- Preparing for regulatory and distribution challenges
15:00
Designing resilient supply chains for linkers and payloads
- Addressing sourcing and availability challenges for critical components
- Managing quality and regulatory requirements for specialised materials
- Building redundancy and supplier diversification strategies
- Ensuring secure and scalable supply for ADC production
15:30
Networking Break
Closing Panel Discussion
16:00
CLOSING PANEL
Future of European Biomanufacturing
- Europe’s biomanufacturing future depends on scaling advanced facilities while maintaining high regulatory and quality standards.
- Strategic investment in automation, digitalisation, and AI will be critical to offset high operating costs.
- Strengthening local supply chains will improve resilience and reduce dependency on external geographies.
- Collaboration across academia, industry, and CDMOs will accelerate innovation and capacity expansion.
