[ 993TALS22 ] Studienfach (*)AI and Life Sciences

(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload Form der Prüfung Ausbildungslevel Studienfachbereich VerantwortlicheR Anbietende Uni
12 ECTS Kumulative Fachprüfung M1 - Master 1. Jahr Informatik Sepp Hochreiter Johannes Kepler Universität Linz
Quellcurriculum Masterstudium Artificial Intelligence 2022W
Ziele (*)In this elective track, the students learn to apply AI techniques in medicine, biology, biotechnology, genomics, genetics, and other life science fields. In structural bioinformatics, AI methods like deep neural networks predict the structure and function of proteins. In drug design, AI techniques identify side effects of drug candidates. In medicine and health care, while AI methods allow analyzing medical images, predicting the prevalence of diseases in certain regions, optimizing processes in hospitals, improving diagnosis, supporting treatment, and monitoring patients.
Lehrinhalte (*)The contents of this subject result from the contents of its courses.
Untergeordnete Studienfächer, Module und Lehrveranstaltungen