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Evidence Based Clinical Application of Personalised Medicine
Learn to generate evidence that informs use of personalised interventions
This course is a part of
The implementation of personalised medicine represents the potential for a paradigm shift in disease prevention and treatment, based on optimizing individualized intervention.
During the course, you will gain a theoretical understanding of how relevant scientific evidence is obtained, in order to document the clinically beneficial applicability of interventions aimed at optimizing the treatment of the individual patient based on their unique features and characteristics. In addition, you will gain knowledge on how to ensure that that the usefulness of this evidence is maintained over time, after its clinical application is introduced into everyday clinical settings across the health care system.
You will be introduced to the varying degrees of evidence-building, and how the scientific findings can be internally and externally validated.
Innovative approaches to obtaining evidence are discussed, with a special focus on the unique challenges that a personal medicine approach has, as opposed to traditional evidence-building, by the study of groups of patients.
Approaches to quantifying the beneficial effect of these interventions, and any unintended consequences, are elucidated.
You will gain insight into the required investments and the existing legal challenges pertaining to the implementation and maintenance of such interventions in the operational part of the healthcare system.
Main themes
- Why do not all patients with a disease have the same effect of a medicine?
- Evidence creation for new medicine
- Strategic questions rather than A vs. B
- Draw on electronic knowledge in the specific clinical situation
- Cost-effective treatment
Teaching form
The course consists of lectures and group/project work and you must expect significant preparation time for all parts of the course.
The course concludes with a written assignment and an oral defense. The written assignment and oral defense can be done individually or in groups. The project work will run in parallel with the teaching.
For more details about the course, please refer to the course curriculum.
View all courses on:
This course, part of the Master’s programme in Personalised Medicine, comes highly recommended. In addition to providing insight and new knowledge about the application of AI, it covers a wide range of topics related to evidence and applied methods in health research.
Course director on »Evidence Based Clinical Application of Personalised Medicine«
Jens Lundgren
Clinical Professor, Senior Consultant
Course details for »Evidence Based Clinical Application of Personalised Medicine«
Dates and examination
Place
University of Copenhagen
Course dates
1–3 September 2025 – on-campus
15–19 September 2025 – online (morning sessions)
6–7 October 2025 – on-campus
The course is available every other autumn.
Maximum 30 participants.
Examination
Please find the exam dates in the exam plan.
Learning outcomes
On completion of the course, you will be able to:
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describe approaches to the development of evidence for medical interventions in patient care
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discuss the unique challenges in obtaining this evidence in connection with personalised medicine, rather than the traditional evidence approach of groups of patients, as well as explain innovative approaches to dealing with these challenges
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explain, in connection with the implementation of new interventions based on automated computer science, how to separate interventions where evidence of usefulness already exists (and where the automation therefore aims to optimize workflows) from interventions where the evidence base is not sufficiently substantiated
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describe approaches and pitfalls in the introduction and maintenance of the clinical quality of new interventions based on automated computer-generated information. Both in terms of clinical value as well as legal division of responsibilities
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account for the quantification of the clinically beneficial conditions of new interventions in relation to the necessary public investments
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analyse and critically approach the construction of clinical evidence by using personalised medicine in the health care system
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communicate knowledge about these relationships to patients, colleagues and other professional groups
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identify the opportunities and challenges in one's own department / own subject area that are important for the development of personalised medicine
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plan research, development, validation and implementation of clinical evidence for interventions based on personalised medicine
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seek out and apply the latest scientific literature on these matters.
Admission criteria
You must meet the following criteria to be admitted to this course:
- Hold a relevant master degree or equivalent.
- Have a minimum 2 years of professional experience within personal medicine in a clinical, research or academic field.
- Be proficient in English.
Find detailed information in the admission criteria on Master of Personalised Medicine (in Danish).
Priority is given to enrolled students
This course is offered as an elective course on the Master of Personalised Medicine programme (website in Danish). Priority is given to students already enrolled on Master of Personalised Medicine. Once the enrolled students have been admitted to the course, the remaining seats are distributed on a first-come, first-served basis.
Tuition fees
More information
All course information is available in the course curriculum:Place
University of Copenhagen
Faculty of Health and Medical Sciences
Blegdamsvej 3B
2200 Copenhagen N
Denmark
Contact
Janni Stubkjær Rasmussen
Study Administration Officer
master@sund.ku.dk
Tlf.: +45 35 32 12 79
Jens Lundgren
Clinical Professor, Senior Consultant
He is a professor of infectious diseases and the director of CHIP – Centre of Excellence for Health, Immunity and Infections. He also leads the Lundbeck Foundation's Centre of Excellence PERSIMUNE (Centre of Excellence for Personalized Medicine of Infectious Complications in Immune Deficiency).
He is a member of the Executive Committee of the ENIH/NIAID-funded INSIGHT network (International Network for Strategic Initiatives in Global HIV Trials) and chairs its scientific steering committee.
Additionally, he is the co-chair of the scientific steering committee for RESPOND (global infectious disease consortium).
From 2022 to 2024, he served as the chair of the scientific steering committee for STRIVE (Strategies and Treatments for Respiratory Infections and Viral Emergencies), a global research platform that is part of global pandemic preparedness.
His initial research focus was on HIV. In recent years, this focus has expanded to include respiratory infections (e.g., influenza and more recently SARS-CoV-2) and infections in patients with other types of immune dysfunction (including transplantation, oncology, hematology, and treated patients with autoimmune diseases).
He mentors several younger colleagues in their research development. He has supervised 41 completed PhDs and 9 D.M.Sc. degrees, with ongoing supervision of 7 PhD students.
He has authored 892 publications in peer-reviewed medical journals, with 50,640 citations and an H-index of 100.