AGENDA AT A GLANCE
AI’s Expanding Role in Biopharma Discovery
AI Breakthroughs in Research, Design, and Early Predictions
8:50
Chairman Opening Remarks
9:00
Panel Discussion: How AI is Rewriting Drug Discovery Pipelines?
- How AI improves drug target discovery speed and accuracy.
- Using AI to predict pharmacokinetics, toxicity, and efficacy early.
- Overcoming barriers in combining diverse data sources for AI models.
- Can AI cut down the time from discovery to clinical trials?
- Success stories of AI-driven drug discovery in practice.
9:50
Reserved for Solution Provider
10:15
Accelerating Drug Discovery through Multimodal Data Integration
- Integrating omics, imaging, and clinical data to create unified AI models for drug discovery.
- Strengthening target identification, drug efficacy predictions, and patient stratification.
- Overcoming data silos to enable a more efficient and predictive discovery pipeline.
10:40
Morning Break – Exhibition Viewing & 1-1 Networking
Data to Discovery
AI-Enhanced Design, Biomarker Identification & Target Validation
11:00
Rapid Development of Next-Gen Vaccines for Tropical Diseases
- Using machine learning to identify and validate biomarkers for personalised medicine.
- Integrating patient stratification for faster, more accurate treatment development.
- Enhancing clinical trial success rates by validating biomarkers earlier in the pipeline.
11:50
Advancing Molecular Design with AI Models
- Using AI to accelerate protein structure prediction and molecular design.
- Enhancing drug discovery by simulating molecular interactions and optimising structures.
- Reducing development times and improving the accuracy of molecular models.
12:15
Lunch – Exhibition Viewing & 1-1 Networking
Digital Bioprocessing
Smart Development & Optimisation for Next-Gen Biologics
2:00
Optimising Cell Culture Media through Digital Tools and Real-Time Feedback
- AI-based optimisation of cell culture media for improved consistency and yield.
- Real-time monitoring and adaptive feedback to fine-tune production parameters.
- Predicting process outcomes and improving reproducibility across production cycles.
2:25
Reserved for Solution Providers
2:50
Smarter Purification and Formulation Through Advanced Process Control
- Leveraging machine learning for process optimisation in downstream purification.
- Predictive anomaly detection during the purification phase.
- Enhancing yield and stability through formulation modelling.
3:15
Afternoon Break – Exhibition Viewing & 1-1 Networking
The Intelligent Lab
Integrating Gen-AI, Robotics & Digital Twins in Drug R&D
4:00
Building Autonomous Labs with Robotics and Real-Time Feedback Systems
- Designing autonomous labs using robotics and integrated systems.
- AI-powered high-throughput assays and self-correcting feedback loops.
- Infrastructure and ROI considerations for lab automation.
4:25
Reserved for Solution Providers
4:50
Enhancing Research with Generative AI and Digital Lab Integration
- Using generative AI to accelerate hypothesis generation and experimental design.
- Integrating natural language tools and digital twins for real-time experiment optimisation.
- Addressing reproducibility and validation challenges in AI-driven research environments.
5:15
Chairman Closing Remarks
5:20
End of Conference - Day 1
5:20
Cocktails & Networking
6:00
ABEA Awards 2026
Digital Ops: AI Control Towers & Enterprise Visibility
End-to-End Operational Command through Intelligent Platforms
8:55
Chairman Opening Remarks
9:00
Achieving Global Manufacturing Control with Unified Dashboards
- Connecting MES, LIMS, and SCADA to centralised platforms.
- Predictive monitoring for bottlenecks, deviations, and failures.
- Achieving real-time control across global production environments.
9:25
Reserved for Solution Provider
9:50
Optimising Uptime with AI-Powered Predictive Maintenance
- AI-driven predictive maintenance for accurate failure forecasting and reduced downtime.
- Seamless integration of predictive tools into production scheduling and resource planning.
- Improving operational efficiency and reducing costs through proactive equipment management.
10:15
Morning Break – Exhibition Viewing & 1-1 Networking
Smart Supply Chain 4.0
Predictive Logistics, Real-Time Tracking & Cold Chain Assurance
11:00
[Case Study] Building a Supply Chain Control Tower with AI for End-to-End Visibility
- Creating an integrated supply chain control system using AI and real-time data.
- Enhancing decision-making with predictive insights and automated alerts.
- Achieving complete visibility across the supply chain from manufacturing to distribution.
11:25
Reserved for Solution Provider
11:50
Leveraging Predictive Analytics for Supply Chain Optimisation
- Using predictive analytics to optimise inventory management and reduce waste.
- Enhancing supply chain flexibility and responsiveness through AI-driven insights.
- Aligning demand forecasting with production schedules to minimise stockouts and surplus.
12:15
Lunch – Exhibition Viewing & 1-1 Networking
From Data Integrity to Digital Compliance
AI in Regulatory Alignment & Risk Management
2:00
Enhancing Quality Control with Predictive Insights and Automated Risk Management
- Leveraging AI-driven quality monitoring for early detection of deviations and risks.
- Automating root cause analysis (RCA) and corrective actions (CAPA) to ensure compliance.
- Strengthening data integrity and reducing regulatory risks through continuous monitoring.
2:25
Reserved for Solution Provider
2:50
Leveraging AI and Digital Tools for Regulatory Success Across the Biopharma Value Chain
- Enhancing regulatory submission accuracy with AI-driven data analysis and automated documentation.
- Streamlining compliance monitoring through digital tools that integrate R&D, manufacturing, and distribution.
- Improving audit readiness and data integrity by automating risk management processes with AI.
3:15
Afternoon Break – Exhibition Viewing & 1-1 Networking
Ethical Intelligence: Building Trust in AI
Governance, Cybersecurity & Transparency
4:00
Building Responsible AI Frameworks for Biopharma
- Defining ethical guidelines and governance for AI use.
- Building audit trails and explainable decision-making processes.
- Aligning AI development with regulatory and ethical standards.
4:25
Reserved for Solution Provider
4:50
Securing AI-Driven Biopharma Systems and Protecting Intellectual Property
- Implementing robust cybersecurity measures to protect AI models and data integrity.
- Securing sensitive training data and ensuring AI system transparency.
- Protecting intellectual property and ensuring compliance with global security standards.
5:15
Chairman Closing Remarks
5:20
End of Conference - Day 2
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