[ 993TALS22 ] Subject AI and Life Sciences

Es ist eine neuere Version 2023W dieses Fachs/Moduls im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
Workload Mode of examination Education level Study areas Responsible person Coordinating university
12 ECTS Accumulative subject examination M1 - Master's programme 1. year Computer Science Sepp Hochreiter Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2022W
Objectives 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.
Subject The contents of this subject result from the contents of its courses.
Subordinated subjects, modules and lectures