Professor, Dept. of Infectious Diseases, Rigshospitalet, University of Copenhagen
Big data driven personalized medicine
Personalized medicine is a rapidly growing field that targets medical interventions tailored to an individual’s medical profile rather than the long established ‘one-size-fits-all’ approach. It is primarily driven by advancements in our ability to generate large amounts of genomic and phenotypic data in a clinical setting, and it requires a multidisciplinary approach to implement in clinical practice. Accordingly, this course is aimed at anybody engaged in basic research, clinical medicine, the pharmaceutical industry, and those involved in health care administration and politics.
Personalized medicine identifies elements that predict the individual’s predisposition to disease and their response to treatment. The tools and methods of personalized medicine integrate genomic and other “-omics” information with clinical and custom laboratory data, which enables the classification of unique disease susceptibility, better diagnoses, earlier interventions, targeted and more efficient drug therapies, and customized treatment. At the same time, the health system is increasingly using big data derived from novel technologies to guide clinical decision-making aimed at optimizing individual benefits from available interventions. However, the question remains: how do we best take advantage of these novel opportunities?
Personalized medicine has far-reaching implications for public health, preventive interventions including the rational design of screening programs, as well as for medical and surgical treatment in hospitals. The multidisciplinary approach this requires is reflected in the syllabus for this course.
After the course you will have acquired:
- A toolbox of techniques for providing personalized medicine, for example diverse technologies to generate and analyze big data, approaches to defining health and disease ( e.g. the phenotype), and linking big data to routine clinical care
- An understanding of the challenges and pitfalls in the analyses and interpretation of “big data”
- Knowledge on the practical translation of research findings into clinical practice
- Insight into the future perspectives on personalized medicine
The course will provide you with insight into key principles and give you a practical understanding of the concept of personalized medicine. We will take you through important aspects of the personalized medicine strategy with an overview of methodological principles, advances in research, and how they are applied to the daily clinical practice of medicine and drug development. The teaching style is interactive and consists of a combination of lectures, discussions, group work and case studies/exercises.
The topics include:
- Definition, mission and vision for personalized medicine
- What data are generated by the various “-omics” technologies and what are they good for?
- Future tools to categorize states of health – or, what exactly is (deep) phenotyping? Covering biological vs syndrome categorization of diagnosis taxonomy, own assessment (personalized electronic health data (incl. PRO-data, wearable health data))
- Stratification versus individualization – what is the difference?
- What infrastructure is needed to implement personalized medicine? Role of laboratories generating data, combining data, use of biobanks, and supercomputer capability
- Data integration, incl. artificial intelligence, machine learning, deep learning – strengths and limitations of the supercomputer infrastructures
- Handling of person-sensitive data in clinical contexts and in research
- The host genome: Challenges in understanding the composition of 3 billion base-pairs
- Why focus on something rare and not the prevalent conditions?
- Images of the body – an “-omics” technology able to capture dynamic metabolic and immunological changes
- The forefront of personalized medicine: oncology and hematology
- How to use personalized medicine in psychiatry: complex diseases using common genetic variants and polygenic risk scores
- Immune dysfunction: complex inherent and acquired conditions rendering the host vulnerable to increased risk of infection, non-infectious immune activation and many other things
- Genome editing techniques incl. CAR T-cells
- Complications in surgery: ”a patient-like-me platform in clinical practice”
- Ethical dilemmas in personalized medicine
- Future perspectives on personalized medicine – in 10, 20 and 30 years
The course is for professionals working in the field of medicine, bioinformatics or related health sciences (e.g. public health, human biology and biotechnology), people with a special interest in the technical aspects of health and medicine and people from the pharmaceutical industry. The course offers an excellent introduction for those less familiar with the concept of personalized medicine and will provide a deeper understanding for health professionals with experience of the field. It will also be of interest to those working in ministerial departments and the regions.
Participants must hold a relevant bachelor degree or equivalent.
Søren Brunak, Professor, NNF Center for Protein Research, Panum Institute, University of Copenhagen
Ismail Gögenur, Professor, Dept. Surgery, Zealand University Hospital, University of Copenhagen
Marie Helleberg, Specialist, Dept. of Infectious Diseases, Rigshospitalet, University of Copenhagen
Liselotte Højgaard, Professor, Dept. of Clinical Physiology, Nuclear Medicine & PET Rigshospitalet, University of Copenhagen
Andreas Kjær, Professor, Dept. of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen
Ulrik Lassen, Professor, Dept. of Oncology, Rigshospitalet, University of Copenhagen
Ole Lund, Professor, Genomic Epidemiology, DTU Food
Rasmus Marvig, Head of Bioinformatics, Center for Genomic Medicine, Rigshospitalet, University of Copenhagen
Trine Mogensen, Professor, Aarhus Universitetshospital
Finn Cilius Nielsen, Professor, Center for Genomic Medicine, Rigshospitalet, University of Copenhagen
Carsten Utoft Niemann, Ass Professor, Dept. of Haematology, Rigshospitalet, University of Copenhagen
Henrik Ullum, Professor, Dept. of Clinical Immology, Rigshospitalet, University of Copenhagen
Thomas Werge, Professor, Institute of Biological Psychiatry, Copenhagen Mental Health Services, University of Copenhagen
Additional course teachers will be included – all international experts in their field.
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Anatoly Vaganov, Head of Department, BIOCAD
“Good course. Well-selected and relevant topics.”
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|Dates and time:||August 19-23, 2019, 9 am - 4.30 pm|
|Price:||EUR 2,680 (DKK 19,900) excl. Danish VAT. The price includes tuition, course material and all meals during course hours.|
|Location:||South Campus, Faculty of Law, Njalsgade 76, DK-2300 Copenhagen S, Denmark|
|Registration deadline:||May 31, 2019|
|Contact:||Copenhagen Summer University
+45 3533 3423