Bioinformatics, AI and Network Biology for Precision Medicine and Health

Education facts

Code: MC811A

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.

Entry requirements

A first-cycle education comprising at least 180 credits, of which at least 60 credits are within biochemistry, biology, biomedicine, chemistry, computer science, informatics, mathematics, medicine, statistics, or equivalent. The applicant must also have qualifications corresponding to the course “English 6” or course “English level 2” from the Swedish Upper Secondary School.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Bioinformatics, AI and Network Biology for Precision Medicine and Health

  Örebro University

  Ortsoberoende

  Start date: 29 March 2027

  End date: 6 June 2027

  Pace of study: 50 %