Artificial Intelligence in Precision Medicine

About this programme

Master's Programme, Molecular Biotechnology and Bioinformatics, year 1, Mandatory Please note: all information from the Course syllabus is available on this page in an accessible format. The course covers the fundamentals and applications of artificial intelligence in precision medicine, with a particular emphasis on data-driven and systems-level understanding of human diseases. Students will gain knowledge of key concepts in multi-omics data analysis, including genomics, transcriptomics, proteomics, epigenomics, metabolomics and metagenomics, and how these can be integrated to provide insight into disease mechanisms and patient-specific responses. Furthermore, genome-scale metabolic models and methods such as Flux Balance Analysis (FBA) are used to investigate metabolic function in health and disease, including cancer, liver diseases and neurodegenerative diseases. The course also includes critical perspectives on the use of clinical and patient-derived data, with regard to data quality, bias, and interpretation. During the course, students are also expected to write a short reflective essay. Completed bachelor's degree project 15 credits, 20 credits in cell biology, biochemistry, microbiology and genetic engineering/molecular biology, 15 credits in mathematics, numerical analysis and computer technology, and courses in programming equivalent to at least 5 credits. Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability. The examiner may apply another examination form