11th -13th September | Amsterdam

Main Conference Day 1

9:00 am - 9:15 am Chairman's Welcome & Icebreaker

9:15 am - 9:55 am Towards Models of Prospective Curation in the Drug Research Industry

Samiul Hasan, Director Data Curation,GSK
  • Discuss drug industry data management - knowledge persistence and knowledge vigilance
  • Apply ontologies and machine learning-based approaches to deliver a much needed change
  • Improve your software design approaches in order to make the process of data and knowledge acquisition more attractive and empower scientists to do more
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Samiul Hasan

Director Data Curation
GSK

9:55 am - 10:35 am CASE STUDY: Data Lake Validation in the AWS Cloud

Daniel Caparrios, IT Validation Strategy Lead,Merck Group
  • Discover how to build a platform base for analytics projects
  • Integrate unstructured documents in order to achieve intelligent knowledge acquisition forms
  • Develop your own machine learning platform culture
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Daniel Caparrios

IT Validation Strategy Lead
Merck Group

10:40 am - 11:10 am Networking Coffee Break

11:10 am - 11:50 am CASE STUDY: Parasite Counter: A Machine Learning Case from Vet Pharma

Brunhilde Schölzke, Associate Director R&D IT,MSD Animal Health Innovation
  • Learn how to integrate machine learning into your data strategy
  • Empower your research with machine learning technologies
  • Take action from insight
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Brunhilde Schölzke

Associate Director R&D IT
MSD Animal Health Innovation

11:50 am - 12:30 pm Data Intelligence in Pharma R&D: Semantics meets Analytics

Giovanni Tummarello, CPO/Founder,Siren Solutions
  • Discover why, in complex scenarios, information is much more a “knowledge graph” than just a bunch of tables
  • Learn how data intelligence is coming together of “Semantics” (Ontologies) and analytics
  • Understand how with semantic underpinning, the investigative analytic UI can automatically suggest connections in dashboards and graph/link analysis 
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Giovanni Tummarello

CPO/Founder
Siren Solutions

12:30 pm - 1:30 pm Networking Lunch Break

  • Ensure authenticity of health records and protocols on record sharing
  • Eradicate fraudulent altering or modification of patient data and clinical trial data
  • Empower research and accelerating collaboration across the board in order to ensure adoption
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Pascal Bouquet

Global Head Technology and Architecture for Global Drug Development
Novartis

2:10 pm - 2:50 pm CASE STUDY: Applied A.I. in Clinical Development

Leonardo Rodrigues, Senior Director, AI & Machine Learning,BERG Heath
  • Analyse why AI should be implemented in clinical development
  • Discover the key obstacles to deploy a production-level AI in drug discovery
  • Examine examples of successful AI applications in drug discovery and patient stratification
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Leonardo Rodrigues

Senior Director, AI & Machine Learning
BERG Heath

2:50 pm - 3:20 pm Networking Coffee Break

3:10 pm - 3:50 pm Toward a Company Wide Data Infrastructure

Maman Khaled, European HTA and Health Economics manager,Otsuka Pharmaceutical Companies
  • Foster a productive culture of collaboration across departments
  • Develop your own non-competitive way to stay ahead of the curve
  • Implement a data strategy that factors in contractor obligations and market access
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Maman Khaled

European HTA and Health Economics manager
Otsuka Pharmaceutical Companies

3:50 pm - 4:30 pm Data Quality-Defined Analytics Processes for Drug Development

Julian Morris, Technical Director,CPACT
  • Define your unique process and analytical variability quality challenges
  • Advance your predictive modelling with lessons learned from the Centre for Process Analytics & Control Technology
  • Discuss strategies to improve your data visualisation
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Julian Morris

Technical Director
CPACT

4:30 pm - 5:10 pm Panel Discussion: Integrating Innovation into your R&D Strategy

  • What is the best strategy to begin integrating M.L., A.I. & Blockhain into you company
  • Is it only R&D – opening and learning from collaboration externally and internally
  • Where is the proof - ROI or buzz words?