Tuesday - 10th May 2022 (TimeZone BST)

  • 10:00
  • Welcome Address & Platform Orientation - Orientation will focus on how to access and navigate the virtual conference platform for Live Sessions & Interactive Networking

  • 10:20
  • Chairperson’s opening remarks

Innovation in Pharma

  • 10:30
  • Accelerating Digital Transformation in Pharma

    • Company leadership and transformation
    • Need for communication specialists and up-to-date technologies
    • Hiring digital experts and collaborations
    • The need to be really quick in transforming at every level

    Florent Hassen

    Florent Hassen Global Data Science & Artificial Intelligence Lead
    F. Hoffmann-La Roche

  • 10:50
  • Executives Discussion and Debate: How AI and Machine Learning is driving value for Global Pharma

    • Innovation in Big-Pharma
    • AI enabled business models in R&D
    • Achieving full potential of AI to boost Drug Discovery and Development
    • AI has the capacity to radically reduce the uncertainty in both early and late-stage drug discovery and development

    Konrad Dobschuetz

    Konrad Dobschuetz Head of Digital Innovation, BIOME Lead UK
    Novartis

    Thomas Ehmer

    Thomas Ehmer Business Technologies R&D Science and Technology - Innovation Incubator
    Merck Group

  • 11:20
  • Abbvie Case Study: Machine intelligence approach for drug discovery


    Abhishek Pandey

    Abhishek Pandey Group Lead: Pharma discovery
    Abbvie

  • 11:40
  • Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma

    • How early-stage partnering and collaboration will inhibit pharma innovation
    • How Biotech revolution has changed the face of drug development?
    • Working with incubators, accelerators and innovation forums can also help
    • Having a good governance structure in place

    For sponsorship opportunities please contact: [email protected] or call +44 (0) 207 096 0786

ML and AI based Drug Discovery

  • 12:00
  • Accelerating scientific discovery: Exploring early drug discovery through Artificial intelligence


    Christos Varsakelis

    Christos Varsakelis Team Lead AI/ML Early Drug Discovery, In Silico Discovery & External Innovation
    Janssen Pharmaceutical

  • 12:20
  • Case Study: Quantum computing use cases from drug discovery/drug development in pharma


    Elica Kyoseva

    Elica Kyoseva Quantum Computing Scientist
    Boehringer Ingelheim

  • 12:40
  • Virtual Luncheon & Networking - Visit Exhibitor Booths & Network with your peers in our Lounge (Face to Face Video Chats)

     

                

  • 13:20
  • Case Study: Advancing Drug Discovery via Artificial Intelligence - Applying AI to the Design of Lead Compounds for new drugs

     

    For sponsorship opportunities please contact: [email protected] or call +44 (0) 207 096 0786

  • 13:40
  • Maximizing Drug Discovery Success with Machine Learning

    • Using machine learning to integrate distinct, bigger datasets created from high throughput screening data can provide a path to predict bioactivities for targets and molecular properties with increased levels of accuracy
    • Broader applicability of machine learning and the potential to change the drug development paradigm
    • ML tools that can improve discovery and decision making

    Ramila Peiris

    Ramila Peiris Director - Head of Data Science
    Sanofi Pasteur

  • 14:00
  • Accelerating drug discovery through quantum-computing

    • Analysing larger-scale molecules  
    • Algorithmic developments in quantum machine learning
    • Offer better insights and the potential to help advance drug discovery

    Thomas Ehmer

    Thomas Ehmer Business Technologies R&D Science and Technology - Innovation Incubator
    Merck Group

Genomics and Precision Medicine

  • 14:20
  • Topic TBC


    Mohamed-Ramzi Temanni

    Mohamed-Ramzi Temanni Scientific Director, Head of France AI & Genomics
    Janssen Pharmaceuticals

  • 14:40
  • Powering Precision Medicine with Artificial Intelligence - AI to further advance drug combination design and development of precision medicine

     

    For sponsorship opportunities please contact: [email protected] or call +44 (0) 207 096 0786

  • 15:00
  • Enabling precision medicine with integrated genomic and clinical data

    • Transforming the entire pharmaceutical value chain
    • How do we implement Precision Medicine in the Real World?
    • How does it affect the ecosystem of healthcare?
    • Future of genomics and precision medicine

    Zisis Kozlakidisor

    Zisis Kozlakidisor Head, Laboratory Services and Biobank Groups, IARC - International Agency for Research on Cancer
    World Health Organization

  • 15:20
  • Visit Virtual Exhibitor Booths/Speed Networking at our Exclusive Lounge (Face to Face Video chat with Exhibitors and other attendees)

     

         

Data Science, Big Data & Informatics

  • 15:40
  • Implementation and relevance of FAIR data principles in Pharmaceutical R&D

    • Improving the efficiency and effectiveness by implementing the FAIR guiding principles for scientific data
    • Tools enabling FAIR data
    • Fair as a machine learning enabler
    • Benefits of FAIR in pharma

  • 16:00
  • Harnessing the Power of Data Science – How to Design a Platform that can Deliver on your Dreams

     

    Coordination and Optimisation of internal drug development data alongside external data sources

    • Exploring and analysing data for early drug discovery
    • Integrating both internal and external data sources into drug development process
    • Driving value through an R&D platform to manage data

    Stefan Schmitz

    Stefan Schmitz Lead Product Owner Data Science Platform
    Bayer

  • 16:20
  • Translational drug informatics platform

    • Importance of Translational informatics platform in R&D
    • Why is it necessary to adopt TI in the resource –constrained world
    • Challenges ahead and moving forward

    For sponsorship opportunities please contact: [email protected] or call +44 (0) 207 096 0786

  • 16:40
  • Big data in Pharma: How Big Data and externalization strategy impacts Drug Discovery

    • Importance of big data in decision making
    • Predominantly with pipelines paying attention on treatments for rare diseases
    • Need for data integration and collaborations for free flow of information
    • Getting big data ready for machine learning

    Shrividya Iyer

    Shrividya Iyer Executive Director, Oncology Global Real World Evidence (RWE) & US HEOR
    Eisai US

  • 17:00
  • Multi-omics & clinical data to unlock the power of complex datasets


    Shruthi Bharadwaj

    Shruthi Bharadwaj Head of Data Science and Technology Solutions
    Sanofi

  • 17:20
  • Round Table Discussion

     

    All the participants will have a great opportunity to discuss and explore a selection of most interesting topics discussed during the conference in small groups with their industry colleagues in an informal setting.

     

    Each table will nominate a head who will summarise the discussion and questions posed. The group members are given equal rights to share and learn from each other's experiences to discover an actionable solution on the discussed topic.

  • 17:50
  • Closing remarks

  • 18:00
  • Networking Drinks Session


Wednesday - 11th May 2022 (TimeZone BST)

  • 10:00
  • Welcome Address & Platform Orientation - Orientation will focus on how to access and navigate the virtual conference platform for Live Sessions & Interactive Networking

  • 10:20
  • Chairperson’s opening remarks

Real World Data, Real World Evidence & Data Integration

  • 10:30
  • Real World Evidence model for assessing new drugs - Enhancing Real World Data Environment

    • How RWE model can be used in R&D to accelerate new product developments?
    • Integrated evidence development model
    • Building an effective RWE based capabilities system
    • Advantages of implementing AI and ML

    Eric Sarpong

    Eric Sarpong Director, Real-World Data Analytics and Innovation
    Merck

  • 11:00
  • Integration and Analysis of Real-World Data (RWD) for clinical research and drug development

    • Leveraging Real-World Data to Overcome the Inefficiencies of Drug Development
    • Understanding the clinical processes
    • RWD to create novel, faster and less invasive approaches to advance disease understanding and biomarker discovery
    • RWD for EHRs in last phase research studies
    • Real-World Data in clinical study through a decentralized approach

    Christophe Chabbert

    Christophe Chabbert Senior Scientist, Data Integration and ML Ops
    Roche

  • 11:30
  • Pivotal role of Data Integration in Enabling pharma to fit its drug development strategy while accelerating innovation

    • Integrating data from distinct sources and leverage predictive analytics to drive informed, realtime decisions
    • Deep Learning based multi-omics data integration
    • Role of data integration and analytics and how it helps in faster decision making and clinical trials.
    • Implementing end-to-end data integration

    Nikolaus Stiefl

    Nikolaus Stiefl Associate Director Data Science
    Novartis

  • 12:00
  • Data Visualization Innovations in Life Sciences and Drug Discovery - AI, VR and MR to Support Drug Discovery

  • 12:30
  • Virtual Luncheon & Networking - Visit Exhibitor Booths & Network with your peers in our Lounge (Face to Face Video Chats)

     

                

Data Visualization, IoT and Cloud

  • 13:10
  • How Pharma can leverage Cloud Computing and AI to increase access to the broadest range of data in Drug Discovery and Design?

    • BI & Analytics in cloud
    • Decentralized IT infrastructure
    • Scalability and flexibility
    • How can efficiency be improved?

    Joe Miles

    Joe Miles Managing Director: Healthcare & Life Sciences Industries
    Google Cloud (NJ)

  • 13:40
  • Adoption of IOT in Pharma

    • Potential benefits of the IoT on clinical research
    • Data processing and management
    • Patient safety and automated monitoring systems
    • Challenges in regulatory approval and compliance

    For sponsorship opportunities please contact: [email protected] or call +44 (0) 207 096 0786

Digital Health in Pharma & Collaboration

  • 14:10
  • Potential impact of Digital Health in Pharma

    • Strategies for efficient collaboration
    • Digital health is proving to be a valuable asset for the pharma industry
    • Intersection of health-care and pharma are together transforming customer journey
    • Identifying others areas that need to be looked at
    • Innovation is key to the future

    Mark Milton-Edwards

    Mark Milton-Edwards Head of Health Solutions - Digital Health
    Teva Pharmaceuticals

  • 14:30
  • Incorporating digital health strategy to achieve patient centric clinical trials

    • Virtual Trials  
    • Assessing new technology scalability with novel digital health initiatives
    • Integrating Clinical Research into the Health care Eco-System

     

    For sponsorship opportunities please contact: [email protected] or call +44 (0) 207 096 0786

  • 14:50
  • Open Innovation & ai Development through a collaborative ecosystem approach


    Simon Philip Rost

    Simon Philip Rost Marketing Director EMEA
    GE Healthcare

  • 15:10
  • Visit Virtual Exhibitor Booths/Speed Networking at our Exclusive Lounge (Face to Face Video chat with Exhibitors and other attendees)

     

         

  • 15:30
  • The convergence of Digital Therapeutics and Pharma in Digital Health

    • Pharma-digital therapeutic alliances
    • Making treatment more accessible
    • How to fit it into the pharmaceutical workflow

    Jin Lee

    Jin Lee Director of Digital Health, Rx+
    Astellas Pharma Inc

  • 16:00
  • Wearable technology: Hype or the future?

    • Emergence of wearable tech-potential benefits
    • Diseases and areas companies have focused and other potential area
    • Strategies to engage customers and to expand
    • Integrating with the existing systems

     

    Booked for Sponosor Gavion Technologies

  • 16:20
  • Panel Discussion: Pharma-Health Collaboration: The Future of Drug Discovery

    • Why is it important for pharma and healthcare to work together?
    • How will digitization help bring patients on board?
    • A partnership can turn out better products in one or two decades
    • Pharma companies need to be more open with sharing data in order to create a pipeline of drugs

    Mark Milton-Edwards

    Mark Milton-Edwards Head of Health Solutions - Digital Health
    Teva Pharmaceuticals

  • 16:50
  • Closing remarks


Stay Informed

Subscribe today to receive news on latest updates,
offers and upcoming conferences via email

For general conference and registration enquires please contact the below email id or fill out the form

Enquire now