Bioinformatics, AI and Network Biology for Precision Medicine and Health

Utbildningsfakta

Kod: 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.

Behörighet

A first-cycle education comprising at least 180 credits, of which at least 60 credits are within biomedicine, medicine, biology, chemistry, biochemistry, informatics, mathematics, statistics, computer science 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.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

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

  Örebro University

  Startdatum: 30 mars 2026

  Slutdatum: 7 juni 2026

  Studietakt: 50 %