Precision medicine and health: Nutrition, Microbiome, Translational Aspects och Bioinformatics, 30 Credits

This course integrates four core modules, each focusing on a critical aspect of personalized health and medicine:

Precision Nutrition: This module introduces the fundamental principles of precision nutrition, emphasizing personalized approaches to diet and health. Topics include the integration of genetics, epigenetics, gut microbiome, and lifestyle factors in nutrition science. Students will explore dietary biomarkers, metabolomics, and data integration applications for developing individualized nutrition strategies and nutritional interventions in real-world scenarios.

Microbiome in Health and Disease: Focusing on the microbiome’s role in health and disease, this module covers the composition and function of the microbiome and its regulation by diet, medications, and environmental factors. Students will learn about microbiome fluctuations during life, the impact of probiotics and prebiotics, and the concept of dysbiosis. Practical training includes microbiome data analysis, including 16S rDNA sequencing and gut metagenomics.

Translational Medicine: This module bridges the gap between preclinical research and clinical applications. Students will study the translational journey of precision medicine, from laboratory findings to clinical trials and systematic reviews. Topics include the translatability of preclinical results, clinical trial design, and the regulatory framework, culminating in hands-on experience with conducting systematic reviews and exploring success stories in the field.

Bioinformatics, AI, and Network Biology for Precision Medicine and Health: In this module, students will learn how bioinformatics, network medicine, machine learning, and AI are applied to precision medicine. The focus is on combining diverse patient data to create diagnostic, prognostic, and treatment responder predictions. Hands-on practice in data modeling, bioinformatics tools, and inter-professional collaboration is emphasized, with students from diverse scientific and data fields working together. By integrating these modules, the course provides a holistic understanding of how personalized approaches in nutrition, microbiome research, translational medicine, and bioinformatics converge to improve medical diagnostics, tailored treatments and health outcomes.

ECTS Credits

30 Credits

Level of education

Second cycle, has only first-cycle course/s as entry requirements (A1N)

School

School of Medical Sciences