Bioinformatics, AI and Network Biology for Precision Medicine and Health

Precision medicine aims at combining a wealth of patient data of many different kinds into diagnostic, prognostic and treatment responder prediction signatures for clinical use. This course teaches, hands-on, how molecular, pre-clinical and different kinds of clinical data are combined based on approaches from bioinformatics, network medicine, machine learning and AI modelling. Awareness and methodology for data with diverse characteristics are taught and modelling approaches practised on students own hardware or on online services as an inter-professional course, with students both from (bio)medicine, biology, chemistry or other life sciences, as well as with students from computational engineering, data science, statistics or other data science related fields. An important course aim is to learn about inter-professional communication and necessary knowledge for fruitful project collaboration between these different fields.