Graduate School of health and Medical Sciences

Precision Medicine in public health
Provider: Faculty of Health and Medical Sciences

Activity no.: 3682-25-00-00	There are 44 available seats
	Enrollment deadline: 01/09/2025

Date and time	29.09.2025, at: 09:00 - 03.10.2025, at: 15:15
Regular seats	45
Course fee	3,200.00 kr.
Lecturers	Marta Guasch Long Nguyen
ECTS credits	2.40

Contact person	Kathe Jensen E-mail address: kje@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee. Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from NorDoc member faculties. After the enrollment deadline, available seats will be allocated to applicants on the waiting list. Learning objectives A student who has met the objectives of the course will be able to: 1) Understand the Concept of Precision Medicine in Public Health: Define precision medicine in public health and its significance. Explore why public health interventions may need to be tailored for specific subpopulations to improve effectiveness. 2) Examine Real-World Applications in Precision Medicine. Review case studies illustrating how precision medicine approaches have been applied in public health settings. 3) Understand Methods for Risk Prediction and Subpopulation Identification. Understand and learn the key steps before implementing risk prediction models. 4) Engage in Ethical and Societal Discussions Content Traditional public health strategies often rely on population-wide interventions, but does a "one-size-fits-all" approach truly work? With the increasing availability of diverse health data—ranging from health registries and biobanks to wearable technology—combined with advances in analytical methods like machine learning, a new field is emerging: precision public health. Precision public health, sometimes referred to as "precision medicine in public health," builds upon but extends beyond precision medicine. While precision medicine aims to deliver the right treatment to the right patient at the right time, precision public health focuses on delivering the right intervention to the right subpopulation at the right time—enhancing granularity and targeting prevention efforts more effectively. By integrating data from -omics technologies, wearables, and health registries, precision public health has the potential to revolutionize disease prevention and health promotion. As this field continues to evolve, public health professionals and researchers will increasingly encounter and engage with its applications in practice. Participants PhD students who have interest in Precision Medicine. The maximum number of participants is 45. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: All Graduate Programmes Public Health and Epidemiology Biostatistics and Bioinformatics Clinical Research Language The course will be in English. Form A mix of lectures and practical exercises. Course directors Marta Guasch-Ferré Associate Professor Section of Epidemiology, Department of Public Health, University of Copenhagen Email: marta.guasch@sund.ku.dk Tri-Long Nguyen Associate Professor Section of Epidemiology, Department of Public Health, University of Copenhagen Email: long@sund.ku.dk Dates Day 1: Monday 29 September 2025 Day 2: Tuesday 30 September 2025 Day 3: Wednesday 1 October 2025 Day 4: Thursday 2 October 2025 Day 5: Friday 3 October 2025 Course location TBA Registration Please register before 1 September 2025 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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