3rd - 4th December 2024
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
High-throughput and fully automated engineering platform for next generation multi-specific protein therapeutics
- Description of our industry-leading high-throughput format-agnostic HT engineering platform for the fast generation of multi-specific protein therapeutics
- Setup of multiparametric screening of tens of thousands of multi-specific protein variants
- Showcases will be presented on antibody/NANOBODY® variants using our HT engineering platform
- Potential of this platform to enable data-driven structure-based design, advanced data analytics and virtual screening (AI&ML-based)
Marta Amaral, Head of High Throughput Protein Engineering, Sanofi
10:00 - 10:30
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
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
Shortening time to market with an integrated data layer that mimics bioreactors
- An integrated data layer can streamline the simulation of bioreactors by providing a centralized platform for data collection, processing, and analysis
- It enhances the accuracy of simulations by ensuring that all parameters reflect the current state of the bioreactor, leading to more reliable predictions of behaviour and performance
- By enabling real-time data sharing between different stages of development, an integrated data layer can facilitate a more cohesive and efficient design process
- This approach can significantly reduce the time and cost associated with experimental trials by allowing for virtual experiments that can be run in a fraction of the time
- An integrated data layer supports the optimization of bioreactor design by allowing for rapid iteration of simulation scenarios to find the most efficient processes
- Ultimately, this leads to a faster time to market for biopharmaceutical products as the development cycle is shortened through improved simulation and design processes
Kristof Heyndrickx, Sr. Business Development Manager, Emerson
Robert Doctolero, Business Development Manager, Emerson
12:00 - 12:30
Advantages of Collaborative Robotics in Pharmaceutical Manufacturing
- Introduction
- Overview of Collaborative Robotics
- Advantages of Collaborative Robotics in Pharmaceutical Manufacturing
- Case Studies and Real-World Applications
- Challenges and Considerations
- Future Trends and Innovations
- Conclusion
12:30 - 13:00
Future-proof your Lab: Rethinking Traditional Approaches in Design and Collaboration
- Research spaces and laboratories are facing many challenges and undergoing fundamental transformation
- The complexity of the laboratory infrastructure requires numerous, involved disciplines and yesterday’s concepts cannot meet future requirements
- A fundamentally new approach is required to address the challenges, to foster the innovation and remain competitive
- Smart Lab Ecosystem approach combines real and digital world to manage and reduce complexity
- The talk will outline our vision what a lab of the future looks like and why we think it’s (r)evolutionary
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
Achieving Lab Digitization at Scale through Reusable Patterns
- Identifying reusable patterns for optimal instrument integration and data management
- Transitioning from one-off implementations through to more scalable approaches
- Managing digital capabilities as a product to align efforts, goals and stakeholder ownership
- Maximizing the value of data through effective governance and improved metadata management
- Leveraging data and communication standards as an accelerator to streamline processes and interoperability
14:30 – 15:00
AI for accelerating clinical trial
- Pros and cons of using machine learning for clinical trial design
- Drug combination discovery using machine learning
- Disease progression prediction for smarter clinical trial design
- Discussion about regularities position in regards to using AI in clinical trial design
Naghmeh Ghazaleh, Neuroscience innovation Lead, Roche
15:00 – 15:30
Implementing Robotics & Automation to Screen Lipid Nanoparticles for Optimal Formulation
- The session will introduce work at the UK’s distributed Centre of Excellence (the Intracellular Drug Delivery Centre), implementing robotics and automation to develop optimal lipid nanoparticle formulations for nucleic acid based vaccines and therapeutics
- Approaches described will include Uniform Manifold Approximation and Projection for dimensionality reduction and nearest neighbour analysis to identify suitable lipids, Design of Experiments and custom Python scripts to integrate data into robotic workflows, and integration of collaborative mobile robots
- Creation of a custom SQL database will be discussed, that enables multi-partner data collection, storage, and adaptive Design of Experiments and Machine Learning
- A case study of LNP formulation data will be presented
Juliana Haggerty, Head of Intracellular Drug Delivery Centre, CPI
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Navigating the Journey to Self-Governed Quality Excellence
- Building a culture of self-governance in quality processes
- Creating a roadmap to achieve the Industry North Star
- Setting a strong foundation for AI/ML, Data Science, and futuristic technologies
17:00 – 17:30
Accelerating transformation through data analytics and insights
- Strategy for implementing an integrated system to track equipment utilization
- Changing mindsets and behaviours
- Outcomes from strategic changes
- Long term vision and next steps
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
Seeing and Feeling the Lab through Pixels
- Optical tactile sensors use cameras to capture contact information
- Example optical tactile sensors include GelTip, TouchRoller and GelFinger
- Simulations provide an alternative approach to collecting large amount of data to train robots
- With vision and touch sensing, robots can perform laboratory tasks in a more accurate and adaptive manner
Dr. Shan Luo, Reader (Associate Professor), King’s College London
18:00 - 18:30
Faster, Better & Cheaper
- The pitfalls of “legacy” experimentation
- Automation costs vs benefits
- Process automation
- Digitalization in context
- Faster, Better & Cheaper
Krisztian Kaszas, Sr Scientist Automation & Digitalization, Johnson & Johnson
18:30 - 19:30
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Creating a Data-Centric Mindset for Drug Research-Development-Manufacturing
- Understanding digital complexity
- Proposed solutions
– Digital transformation
– Monitoring business value delivery
– Data-centiricity - Integrating drug research, development and manufacturing
- Concrete examples
Cedric Berger, Head of Knowledge Extraction and Integration, Roche
09:30 – 10:00
Ushering in the Biointelligence Revolution – Paving the Way with Customized Lab Automation, from Precision Chromosomal Staining to Next-Gen Diagnostics
- The Rise of Biointelligence: Understanding the next industry revolution and its transformative impact
- The Path Beforehand: Laboratory Automation: Exploring cutting-edge, tailored automation technologies tailored for enhancing accuracy and efficiency as enabler for the integration of biointelligence
o Overcoming Automation Challenges: Addressing common hurdles in lab automation and finding customized solutions to meet unique needs. - Case Study: Munich Diagnostic Laboratory: A deep dive into the successful customization of automation solutions for chromosomal staining techniques
- The Path to Biointelligent Labs: Strategic steps towards intelligent laboratories that can adapt and evolve with scientific advancements
Michael Langner, Research Team Manager, Fraunhofer IPA
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
INTEGRATING AI AND ROBOTICS FOR EFFICIENT DRUG DESIGN AND DISCOVERY
- Combining generative AI, retrosynthesis and robots to discover new drugs faster
12:00 – 12:30
Digitization and Connectivity on the Path to Net - Zero
- Unlocking hidden inefficiencies and waste in the enterprise
- How digitization can speed up the path to Net-Zero
12:30 – 13:00
Flexible lab space
- Need for Flexibility in R&D environment for Life Sciences
- How to incorporate flexibility in a R&D building
- Solutions from startups to scaleups to corporates
- Presentation of the Plus Ultra Leiden building
- Smart Building technology
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
Unlocking New Horizons in Drug Discovery: Ksilink’s Integration of TechBio for New Therapies
- KSILINK’s innovative fusion of phenotypic profiling, machine learning, and omics datasets to accelerate drug discovery
- Focus on high-impact disease areas: cardiovascular, neurodevelopmental, and neurodegenerative disorders (ALS, Parkinson’s, cardiomyopathies)
- Proprietary, human-centric datasets drive the identification of novel drug targets
- AI-powered analysis of hiPSC-derived cells to evaluate therapeutic responses
- A data-centric, accelerated pathway toward therapies for previously untreatable diseases
- Commitment to pushing the boundaries of translational medicine through advanced bioinformatics and AI integration
Konstantinos Gkatzis, Head of Cardiovascular Research and Drug Discovery, KSILINK
14:30 - 15:00
Enabling Digital Transformation of Pharma Product Development through Full Transformation of End-to-End Workflows: Progress and Challenges
CMC process development is facing multiple challenges from the increasing number of projects to higher agility, cost reductions, data integrity & accelerated development timelines. Data generated during drug development is only partially leveraged to further improve our processes or use it for predictive modelling. Building on a multi-year CMC digital transformation program, we embarked on digitizing end-to-end workflows across multiple platforms & lab families. We focused on three key areas: Operating Model, Value Delivery, and Scaling. We will share progress and challenges in each of these areas.