13th - 14th November 2025
Agenda
Accelerating Transformation of Life Science, Pharma and Biotech R&D with Automation, AI/ML & Robotics Tools
DAY 1
08:00 - 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
Version Control and Lab Automation: Enhancing Scientific Reproducibility, Traceability, and Collaboration with Robust Systems
- Importance of version control systems (VCS) for enhancing efficiency, precision and reproducibility across lab workflows
- How we approached designing a robust, user-friendly VCS capable of managing complex and ever-evolving scientific processes
- Overcoming challenges in development and implementation: Handling resistance to change, technical obstacles, and data security assurance
- Future possibilities: How integrating AI and ML into VCS can further push the boundaries of lab automation
09:30 - 10:00
Cutting Edge and Adaptable: Balancing Lab Flexibility and Evolving Research Needs when Integrating Automation and Robotics
- Modular work cells or E2E lab automation: Evaluating specific suitability, ease of scalability, and aligning strategies with future needs
- Cost-effective and smarter instrument connectivity: Harnessing IoT devices within the lab for increased R&D throughput
- Where to begin with cloud orchestration: Reviewing benefits and challenges of cloud-based workflow scheduling
- Combining automated instrument data capture with LIMS to facilitate greater scientific collaboration and enhanced decision-making at pace
10:00 - 10:30
QC Lab of the Future: Modernizing Lab Processes and Operations with Best Practices and Technology Implementation for Greater Efficiency
- Digital Enablement: Setting capability foundations and establishing fundamentals for automation, technology and data integration across lab equipment
- Personalizing the digital experience and articulating the benefits of change to stakeholders for streamlined transition, accelerated adoption and continued innovation
- Opportunities and challenges of using robots, cobots, AR, VR and speech interfaces within the lab
- How knowledge-sharing and industry collaboration is essential to drive credible and sustainable change
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
Driving Measurable Value Creation with Intelligent Lab Ecosystems: Transforming Scientific Discovery with Disruptive Technologies
- Developing the interconnected ecosystems: Leveraging IoT for seamless data exchange, improved system interoperability and real-time monitoring of instruments
- AI-supported decision-making: Unlocking new scientific discoveries with intelligent data analysis and predictive modelling to accelerate timelines
- The role of automation, robotics and speech-interfaces to enhance lab processes for improved safety, workflow efficiency, reproducibility and real-time data capture
- Assessing how intelligent lab technologies can contribute to sustainable best-practices without compromising on throughput or operational excellence
12:00 - 12:30
Workflow Execution Interface (WEI): Streamlining Autonomous Scientific Discovery through Open-Source Robotics and Instrumentation Integration
- Progress toward fully automated laboratories through the development of an open-source, extensible and Python-centric software framework
- Enabling scientists to coordinate the diverse instruments and services required for stepwise execution of various experimental workflows using human-readable YAML formatted definitions
- Rapid integration of new instruments with minimal effort and successfully enabled autonomous experimentation in benchmark studies
12:30 - 13:00
Capabilities of KIWI-Biolab’s robotic ecosystem by orchestration of model-based DoEs and fast in-depth analytics for process development in biopharma
- Solving the challenge: an automated lab which combines all elements of bioprocess development
- Self-driven model-based bioprocess development is possible
- Scalability from high throughput stations to industrial scale is a major issue which can be verified through parameter identification
- FAIR data is not only the key to all autonomous operations be also for integrating collaboration into a HT facility
PLANNED INVESTMENT AREAS
- Robotics Process Automation
- Data Sciences and Analytics
- Architectural Design and Lab Planning
- Asset Performance Management
- Laboratory Process Automation
- Laboratory Digital Monitoring Systems
- Transportation & Storage of Biological Materials
- Laboratory Sample & Inventory Management Solutions
- High-throughput screening/ High-content screening
- Laboratory equipment and Furniture
- Asset Finance and Leasing
- Sustainable Equipment, Materials and Decontamination Solutions
- Labware Cleaning and Sterilization
- Energy Efficiency Solutions
- Augmented Reality/Virtual Reality
- Laboratory/Hardware Automation
- Smart Lab Infrastructure
- Mobile Robots
- Cloud Computing
- Artificial Intelligence/Machine Learning
- Informatics
- Operational Excellence/Continuous Improvement
- Quality Assurance / Quality Control
- Laboratory Operations & Strategy
- Regulation, Compliance & Validation
- Cybersecurity
- Digital Lab Consulting
- Consulting for AI & ML adoption for Lab Automation
- Sample Analysis and Processing Solutions
- Sustainable Materials Management (SMM)
- Clean Room Solutions
- Environmental Monitoring Solutions
- Design, Build, Quality & Commissioning of Critical Laboratory Facilities
13:05 - 13:55
LUNCH
14:00 - 14:30
Artificial Intelligence and Personalized Medicine: Examining Potential Use-Cases and Real-World Applications for AI & ML Within Life Science Labs
- Reviewing the history, direction, and aspirations for developing a vision-based AI system
- Creating the optimal conditions AI needs for success whilst navigating infrastructure, planning and scale-up challenges
- Driving maximum results with minimal resources: Addressing issues with data quality and quantity limitations
- Keeping the promise: Demonstrating incremental progress and designing next steps for continued innovation
14:30 – 15:00
Utilizing Digital Microfluidics to Miniaturize and Automate Arrayed CRISPR Screening Workflows
- An automated microfluidic system miniaturizes non-viral transfection, significantly reducing the number of cells required per edit while maintaining high efficiency and viability.
- It enables efficient delivery of various payloads (mRNA, DNA, proteins, RNP) and gene editing across different cell types and structures (including primary immune cells, iPSCs).
- A custom 48-plex editing cartridge and its associated workflow for automation integration have been introduced, allowing for thousands of edits daily without human intervention.
- This approach offers the potential for rapid, cost-effective, high-throughput discovery at the resolution of individual patients, which could lead to a reduction in drug candidate attrition and the advancement of personalized therapies.
15:00 – 15:30
Convergence of Digital Lab and GenAI to accelerate drug discovery
- Development of targeted clinical trials through use of Machine Learning (ML) and Generative AI (GenAI). This means that clinical trials can be conducted more efficiently and with a higher chance of producing favourable results. Additionally, GenAI and machine learning can help in identifying potential side effects or risks associated with new drugs, ensuring that patient safety is not compromised. There are exciting developments we should focus on, such as fine-tuning LLM (Large Language Model) for Laboratories. These models are being developed to
- Addressing the inefficiencies and limitations in current drug development pipelines through fine-tuning LLM (Large Language Model) for Laboratories. Fine-tuning LLM models can analyse and interpret complex laboratory data more effectively, leading to faster and more accurate results. Moreover, these models allow scientists to predict the outcome of experiments before they even take place, saving time and resources.
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
A modular approach to robotic lab automation: from simple workstations to the dark lab
- Evolution of robotics: from the factory to the lab
- How can robotics help with today’s R&D lab challenges?
- Collaborative, industrial, mobile, … a robot for every need!
- The robotic lab automation ecosystem
- Use cases: from simple workstations to the dark lab
17:00 - 17:30
Future Trends in Laboratory Automation and Employee Engagement
- Current and Future Trends: customized automation, miniaturization, mobile robots, lab-scale pharma production, and remote labs
- Key examples and associated challenges
- Initial steps and considerations
- Employee Engagement and User Experience: Importance of user experience in driving engagement
PLANNED INVESTMENT AREAS
- Robotics Process Automation
- Data Sciences and Analytics
- Architectural Design and Lab Planning
- Asset Performance Management
- Laboratory Process Automation
- Laboratory Digital Monitoring Systems
- Transportation & Storage of Biological Materials
- Laboratory Sample & Inventory Management Solutions
- High-throughput screening/ High-content screening
- Laboratory equipment and Furniture
- Asset Finance and Leasing
- Sustainable Equipment, Materials and Decontamination Solutions
- Labware Cleaning and Sterilization
- Energy Efficiency Solutions
- Augmented Reality/Virtual Reality
- Laboratory/Hardware Automation
- Smart Lab Infrastructure
- Mobile Robots
- Cloud Computing
- Artificial Intelligence/Machine Learning
- Informatics
- Operational Excellence/Continuous Improvement
- Quality Assurance / Quality Control
- Laboratory Operations & Strategy
- Regulation, Compliance & Validation
- Cybersecurity
- Digital Lab Consulting
- Consulting for AI & ML adoption for Lab Automation
- Sample Analysis and Processing Solutions
- Sustainable Materials Management (SMM)
- Clean Room Solutions
- Environmental Monitoring Solutions
- Design, Build, Quality & Commissioning of Critical Laboratory Facilities
17:30 - 18:00
Optimizing Life Science Labs, Workflows & Workforces with Disruptive Technology: Embracing the Digital Future of Scientific Discovery, Research and Development
- Strategic Lab Automation: Identifying suitable technology and partners that meet our growing need for accelerated, streamlined and optimized scientific processes
- How will digital disruption reshape our evolving scientific workforces and influence our overall journey towards labs of the future?
- Delivering ROI with cost effective lab automation: How should we refine our strategies and capabilities to deliver lab innovation that’s scalable, flexible and within budget?
- Cultivating a collective and cohesive effort: How should we encourage stakeholders, industry collaborators and solutions providers to pool resources and knowledge to accelerate the transformational journey
- Next phase of scientific innovation: What do we envisage as our labs of the future, and how will emerging technology further support continued scientific innovation?
18:00 - 19:00
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Overcoming Challenges and Managing Costs in Industrializing Generative AI
The adoption of Generative AI into clinical trials offers transformative potential, enhancing efficiency, accuracy, and innovation. However, scaling Generative AI involves addressing significant challenges and managing costs effectively. This session will delve into these issues, providing practical solutions and insights through expert discussions and practical case studies. Join us for this in-depth session to discover how to effectively industrialize Generative AI in clinical trials to drive innovation and efficiency in bringing new drugs to market.
09:30 – 10:00
Automating Life Science Workflows: Overcoming Data Integration Challenges for Advanced Research and Progressive Scientific Innovation
- Defining why: Enhanced collaboration, accelerated scientific progress and optimized resource utilization
- Exploring the realities of liberating data from across different instruments, platforms, and sources within the lab
- Harmonizing data pipelines: Creating robust frameworks to minimize bottlenecks when handling big data
- FAIR data principles: Best-practice standards and protocols for scientific data collection, storage, and annotation
10:00 - 10:30
The Importance of Validating LIMS and Laboratory Systems
- Mapping and redesign to simplify an analytical process prior to major project implementation e.g. LIMS or a networked CDS
- Using the maps to define user requirements: defining intended use
- Does the laboratory fit the LIMS or vice versa? The configuration versus customisation debate
- How to leverage the supplier’s software development and testing to reduce in-house validation
- How to validate GAMP software category 3 computerised systems using a single integrated validation document
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
How Smart Inventory Management Drives Excellence and Compliance ?
- Digital transformation: a catalyst for laboratory workflow simplification
- Connecting multi-site laboratories: challenges and opportunities
- Real-time traceability: the new standard for modern laboratories
- Smart integration: from data integrity to operational excellence
- Building a future-proof quality management system
12:00 – 12:30
Open Source Laboratory Automation and Generative AI Powered Programming
- Incorporating automation into laboratory work brings significant advantages
- However there are obstacles that can delay successful implementation
- We will explore how combining open source automation together with new tools in the realm of AI can help to reduce these obstacles
12:30 – 13:00
Enhancing Workflow Flexibility for Scalable Protein Expression with CyBio FeliX: A Modular Approach to Plasmid Extraction, NGS Preparation, and Protein Purification
- Adaptable Solutions: Explore how our platform meets diverse experimental needs in rapidly changing research environments
- Configurable Systems: See practical demonstrations of plasmid extraction, NGS preparation, and protein purification
- Efficiency Gains: Understand how to enhance research productivity and reduce time to results through innovative liquid handling
- Enhanced Reproducibility: Discover how we support increasing reproducibility in workflows, ensuring consistent results across experiments
PLANNED INVESTMENT AREAS
- Robotics Process Automation
- Data Sciences and Analytics
- Architectural Design and Lab Planning
- Asset Performance Management
- Laboratory Process Automation
- Laboratory Digital Monitoring Systems
- Transportation & Storage of Biological Materials
- Laboratory Sample & Inventory Management Solutions
- High-throughput screening/ High-content screening
- Laboratory equipment and Furniture
- Asset Finance and Leasing
- Sustainable Equipment, Materials and Decontamination Solutions
- Labware Cleaning and Sterilization
- Energy Efficiency Solutions
- Augmented Reality/Virtual Reality
- Laboratory/Hardware Automation
- Smart Lab Infrastructure
- Mobile Robots
- Cloud Computing
- Artificial Intelligence/Machine Learning
- Informatics
- Operational Excellence/Continuous Improvement
- Quality Assurance / Quality Control
- Laboratory Operations & Strategy
- Regulation, Compliance & Validation
- Cybersecurity
- Digital Lab Consulting
- Consulting for AI & ML adoption for Lab Automation
- Sample Analysis and Processing Solutions
- Sustainable Materials Management (SMM)
- Clean Room Solutions
- Environmental Monitoring Solutions
- Design, Build, Quality & Commissioning of Critical Laboratory Facilities
13:05 - 13:55
LUNCH
14:00 – 14:30
Transforming Regulatory Document Authoring: The Promise of Human-Led Generative AI
The presentation will explore how Generative AI is revolutionizing the entire spectrum of regulatory document authoring, from protocols to clinical study reports, promoting standardization, ensuring compliance, and maximizing efficiency. It will highlight the paradigm shift in how these critical regulatory documents are drafted, emphasizing the transformative impact of Gen AI on the pharmaceutical industry. While showcasing how Gen AI accelerates the process, the presentation will also stress the essential role of human oversight in maintaining accuracy and regulatory standards, advocating for a collaborative “human-led” Generative AI approach that delivers the best outcomes.
14:30 - 15:00
Open Discussion: Reimagining our Labs of Tomorrow with Emerging & Disruptive Technologies: Pushing the boundaries of scientific discovery and innovation with intelligent Process
- Maximizing opportunities with AI and automation: Where can these technologies deliver the most value and how do we keep up with innovation?
- Measuring progress and value creation: How do we ensure continuous improvement and adaptability to meet shifting stakeholder and business objectives?
- Empowering talent and inspiring the next-generation: How can we align lab digitalization with upskilling initiatives to develop an increasingly tech-savvy lab workforce?
- Integrating old and new systems: What best practices can we use to overcome interoperability challenges between legacy and next-gen lab technologies?
- Influencing vendor communities: How can we collectively remove resource barriers and reduce entry costs for more accessible, affordable, flexible and scalable lab solutions?
- Future trends and innovations: What disruptive technologies are reshaping our future labs, and what challenges lie ahead?