May 2022

Discussion Group Leader:

Dr Vaishak Belle Academic, Chancellor’s Fellow, Royal Society University Research Fellow, and Alan Turing Faculty Fellow at the University of Edinburgh.

Discussion Group Topics:

• Machine Learning – Requirements, Challenges & Connections
• Explainability – Helping Avoid Bias & Increasing Usability
• Trust – Engaging with Stakeholders and Learning to Trusting AI

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April 2022

Discussion Group Leader:

Irina Macovei (Counsel at DLA Piper)

Discussion Topics: 

• Regulations in Digital Medicine
• Privacy
• COVID 19 & The Acceleration of Digital Medicine

April 2022

Discussion Group Leaders:
Frank Baganz  (Senior Lecturer at University College London)
David Gemmel (Biomanufacturing Engineer at Merck KGaA)

Discussion Group Topics:

• Manufacturing 4.0 – Digitalization, Digital Twins and Big Data
• Automation of development and manufacturing processes
• Advanced Modelling
  Process Intensification and Continuous Manufacturing
• Cell Free Synthesis
  Challenges for biomanufacturing

March 2022

Discussion Group Leader:

Silvia Bäckström (Senior Director, Head, Center of Excellence for Innovation & Evidence Generation at Takeda)

Discussion Topics:

• VBHC 2022 – How far have we come?
• Barriers and enablers in the future transformation journey
• The future role of digital health and technologies
  
  

February 2022

Discussion Group Leader: Angelika Fuchs – Head of Discovery Informatics (Roche)

Presentation: Building the Lab of The Future

Discussion Topics:

• Retrospective – how far have we come? Electronic labs and where do we go in the future.
• Automation – What areas are easy/difficult in the value chain?
• Integrating manual processes
• Where can we get ‘smart’ – AI/ML Success Stories
• Challenges and limitations of AI/ML

December 2021

Discussion Group Leaders:

Mike Ouren, Independent 

David Wolton, Engineering Technology Lead, Takeda 

Carl-Helmut Coulon, Head of Future Manufacturing Concepts, INVITE GmbH

Discussion Topics:

• Overcoming challenges: what is missing in Pharma logistics, automation and QA/QC labs of the future? 
• What new technologies are needed? 
• What constitutes industry proof of concept 
• Industry expectations – how to achieve the biggest impact? 
• Return on investment – benchmarking
  

November 2021

Presentation: Designed Experiments to Explore Sequence and Biophysical Diversity of Monoclonal Antibodies 

Presenter: Joshua Smith, Senior Data Scientist, Just Biotherapeutics

Discussion Topics: 

• Data analysis with AI/ML 
• Data access & datasets & protocols 
• Advancements of data science in disease indication areas 
• Designing and Preparing Datasets for AI/ML

November 2021

Presentation: Data Analytics: Innovation Opportunities & Challenges For The Biopharma Industry  

Discussion Group Leaders:

Lili Peng, Associate Director – External Innovation Data Sciences, Biogen

Giovanni Dall’Olio, Data Strategy and Design Manager, GlaxoSmithKline

Discussion Topics:

• Curation & harmonisation of diverse datasets
  • Data Mesh
  • Organising and structuring an organisation with data
• Building data as a product
• From data infrastructure to the cloud
• Connecting content from data assets to business questions

June 2022

Discussion Group Leader:

Cindy Novak (Senior Manager, Lab Computing Systems, BMS)

Discussion Topics:

• Why Harmonise or Standardise? Different Approaches and Use Cases
• Quality & Release Data’s Importance for Analytics
• Retrospective – Where We’ve been with Analytics and the Introduction of FAIR data