Programme 2020/21
Nordic Virtual 2020/21
All times are Central European Time (CET)
SESSION 1 - Tuesday November 3, 2020
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Precision Medicine: National Initiatives and Regulation: Where We Are and Next Steps
11:00
Opening Remarks and an Update on Genomic Medicine Sweden from the Chair:
Prof Richard Rosenquist Brandell, Professor of Clinical Genetics, Department of Molecular Medicine and Surgery, Karolinska Institutet, Senior Physician, Clinical Genetics, Karolinska University Hospital, & Director, Genomic Medicine Sweden
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11:15
The Future Direction of Precision Medicine: What We Hope to Achieve and Required Next Steps

A panel of expert speakers from across the Nordic region will outline current policy and regulations governing precision medicine, and the initiatives being implemented to further advance its implementation, in their specific countries. A panel discussion will then explore some of the following issues:

  • How can flexibility be built into policy development to enable regulatory frameworks to adapt and innovate as research and technology progresses?
  • To what extent can, or should, national regulations be harmonised, or common European policies adopted to facilitate and advance precision medicine?
  • Assessing where time, energy and investment should be best focused in order to implement precision medicine into the clinical setting
Dr Grethe S. FossProject Leader Personalised Medicine & Senior Adviser, The Norwegian Directorate of Health
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Dr Kári StefánssonPresident, Chairman, CEO and Co-Founder, deCODE Genetics
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Dr Bettina Lundgren, CEO and Managing Director, Danish National Genome Centre
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13:15
Close
SESSION 2 - Wednesday November 4, 2020
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11:00
Welcome and Introduction from the Chair:
Chair: Dr Valtteri Wirta, Director, Clinical Genomics Facility, Science for Life Laboratory & Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet
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11:10
Strategies for Enhancing the Quality of Data Available & Optimise Its Use
  • Examining the key issues currently affecting data availability, affordability and quality 
  • Assessing what needs to be done to monitor this and ensure data gathered is as usable as possible:
    • benchmarking
    • harmonisation
    • standardisation
  • Identifying which technologies can facilitate the flow of health data
Dr Sharmini Alagaratnam, Principal Researcher, Precision Medicine Research Programme, DNV GL
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11:25
Unlocking the True Potential of Multi-Omics Data
  • Identifying the key challenges in multi-omics data utilisation and possible solutions
  • Assembling the right “toolbox” for optimum data integration and analysis:
    • developing robust and transparent process to provide timely and useful clinical information 
    • creating reference values for stratified populations 
    • reporting the findings in a coherent and useful way 
  • Exploring new methods for integrating genetic data from different sources to find the meaningful overlap:
    • selecting the most relevant variables from different -omics datasets and samples
    • techniques for extracting common information from different datasets for the same patients and classifying patients
Dr Antonio Andreu, Scientific Director, EATRIS
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11:40
Effectively Integrating Patient-Generated & Lifestyle Data into the Healthcare System to Optimise Its Use
  • Exploring how the increasing volume of behavioural and lifestyle data can be integrated appropriately with clinical data:
    • how to utilise patient led self-care data in healthcare - Finnish example
 
 
11:55
Panel Q & A Discussion
12:45
Closing Remarks from the Chair
SESSION 3 - Wednesday November 18, 2020
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Advancing Precision Medicine Through Multi-Omics Strategies
Deriving molecular signatures from multi-omics data has the potential to more accurately define disease, improve patient stratification and predict likely drug or therapy response. There have been many advances in the use of multi-omics data, however some omics are more developed than others. This session will explore what is being achieved with different -omics and how ready they are for clinical use.
11:00
Welcome & Introduction from the Chair
Chair: Dr Ujjwal Neogi, Associate Professor of Virology, Division of Clinical Microbiology & Group Leader, LabMed, Karolinska Institutet &  Adjunct Associate Professor, University of Missouri, Columbia, USA
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11:10
Using an Integrated Multi-Omics Approach to Enable Detailed Molecular Characterisation
 
 
11:25
Implementing Pharmacogenomics into Clinical Practice
Prof Dr Matthias Schwab, Head of the Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart and Department of Clinical Pharmacology, University Hospital, Tübingen
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11:40
Metabolomics: Metabolic Profiling as An Early Diagnosis Tool for Precision Medicine
 
 
11:55
Using Proteomics & Integrated Proteogenomics to Better Understand Molecular Profiles and Improve Disease Detection, Diagnosis & Prevention
 
 
12:10
Panel Q & A Discussion
13:00
Closing Remarks from the Chair
SESSION 4 - Thursday November 19, 2020
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Diagnostics & Biomarker Development
A recognised bottleneck in the advancement of precision medicine is the identification, development and validation of appropriate predictive biomarkers. These are a vital tool to provide the link between research, clinical trials and implementation. This session will look at the development of innovative biomarkers and their potential use in clinical practice, as well as emerging diagnostic techniques for better disease prediction and prognosis.
11:00
Welcome & Introduction from the Chair
 
 
11:10
The Copenhagen Hospital Biobank and The Danish Blood Donor Study – Two Large-Scale National Biobanks for Health Research
Prof Dr Henrik Ullum, Professor & Chief Physician, Copenhagen Hospital Biobank Unit, Department of Clinical Immunology, Rigshospitalet, Copenhagen University Hospital
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11:25
Exploring the Effective Development and Integration of Digital Biomarkers
  • Exploring the latest innovations in mobile, smart, cloud and self-diagnostic technologies for obtaining patient data and insights for use as digital biomarkers
  • Identifying the challenges to be overcome in using digital biomarkers and possible solutions:
    • reliability of technology and results
    • standardisation of results from patient technology and in a clinical setting
    • data privacy issues
  • Successfully leveraging the information generated to track trends and patterns for individuals and populations:
    • examining what tools are needed to effectively integrate e-health technology into clinical practice
    • assessing the implications for healthcare systems of patient self-management technologies and increased patient empowerment
  • Demonstrating the use of health-tech and patient-driven technology as diagnostic tools in practice 
 
 
11:40
Developing Innovative Biomarkers for a Personalized Medicine Approach in Patients with Cardiovascular Disease
Prof Dr Agneta Siegbahn, Senior Professor, Department of Medical Sciences, Uppsala University
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11:55
Early Signalling Responses to Chemotherapy to Predict Survival in Acute Myeloid Leukemia
Prof Dr Bjørn Tore Gjertsen, Center for Cancer Biomarkers CCBIO, Department of Clinical Science, Precision Oncology Research Group, University of Bergen &  Department of Internal Medicine, Hematology Section, Haukeland University Hospital
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12:15
Panel Q & A Discussion
13:00
Closing Remarks from the Chair and Close of Conference
SESSION 1 - Tuesday January 26, 2021
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10:30
Welcome and Opening Remarks
 
 
10:35
Keynote Address: Developing an Optimal AI and Big Data Solution across Europe
  • Outlining the key priorities and next steps with regards to harnessing new intelligent technology for healthcare and medicine
  • Examining whether new technology solutions such as AI can be implemented within existing regulatory frameworks or what changes are required. Is it possible to find a cross-border European solution?
Marco Marsella, Head of eHealth, Well-Being and Ageing Unit - DG CONNECT, European Commission
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10:50
Leveraging the Power of New Digital Technologies to Drive the Development of Healthcare
Healthcare provision is challenged by increasing demand and expectations to unleash the power of modern analytical tools into better outcomes for patients. Region Halland increased efficiency by transforming healthcare data to add value for patients. By means of information-driven care development it has built unique capabilities allowing for fact based systematic system-wide decision-making beyond silos, AI deployment, RWE studies and the use of novel cost allocation capabilities for complete care chains.
Dr Markus Lingman MD PhD, Chief Strategy Officer, Consultant Cardiologist, Halland Hospital Group
 
 
11:05
Q&A
11:15
Achieving Efficient Utilization of Sensitive Health Data while Preserving Rich Data Quality and Privacy Protection - Mission Possible
  • Evaluating the restrictions and the potential of using sensitive health data
  • How to utilize and share Real World Data without compromising patient's privacy
  • How can data anonymization and synthesization boost the controlled flow of healthcare data
Dr Kimmo Pitkänen, Account Director, VEIL.AI Ltd
 
 
11:30
Procuring Innovation to Accelerate the Development and Implementation of AI in Healthcare
Tomas Borgegård, Innovation Program Manager, Karolinska University Hospital
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11:45
Panel Q&A Discussion
12:30
Close of Session
SESSION 2 - Wednesday January 27, 2021
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10:30
Welcome Back
10:35
Developing Integrated AI-Based Solutions to Optimise Data Available and Add Value in Healthcare
  • Identifying key challenges in applying Artificial Intelligence to biomedical data
  • Exploring how AI and machine learning can facilitate the collection of medical data for the objective assessment of disease progression
  • Assessing what is being done to ensure transparency and “explainability” of AI analysis to avoid prediction methods becoming a “black box” 
  • Case study: Accelerating the development and implementation of AI in healthcare
Dr Stein Olav Skrøvseth, Director, Norwegian Centre for E-Health Research
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10:50
The Dawn of AI Digital Pathology for Cancer Diagnosis - The Karolinska University Hospital Experience
Dr Carlos Fernández Moro, Pathologist, Department of Clinical Pathology and Cytology, Karolinska University Laboratory
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11:05
Q&A Discussion
11:15
Successfully Integrating AI and Digital Healthcare into Hospitals
  • Assessing the requirements for implementing AI and digital technologies into clinics: procurement; infrastructure; stakeholder and user understanding
  • Examining how you effectively develop, validate and utilise AI decision support systems in clinical practice
  • Developing and communicating an understanding for physicians, patients and other stakeholders as to the role that AI can realistically play in health care: avoiding the risk of AI technologies becoming a “black box” 
  • Determining how healthcare institutions can implement AI and new technology solutions within highly regulated environments and severely restricted budgets
Pekka Kahri, Technology Officer, Helsinki University Hospital (HUS)
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11:15
Using Artificial Intelligence to Analyse & Predict the Behaviour of Cancer Cells
 
 
11:45
Applying AI and Machine Learning Approaches to Enhance Clinical Trial Success Rates
Exploring how AI tools can work alongside traditional research to identify novel targets to test in the laboratory
 
 
12:00
Panel Q&A Discussion
13:00
Close of Session
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