Doctoral course - AI Models for Cancer Research: Bridging Clinical Challenges with Advanced Machine Learning
Education information
Implementation date
09.09.2024 - 10.09.2024 (Lecture times to be confirmed)
Education type
Field-specific studies
Alternativity of education
Optional
Location
Linnanmaa
Enrollment and further information
Enroll here: https://link.webropolsurveys.com/EP/19F494455DA2577A
Professor Minna Isomursu (minna.isomursu(at)oulu.fi)
Education description
Prerequisites:
Participants should understand machine learning fundamentals and have experience with programming (preferably in Python). A basic understanding of medical imaging and oncology is recommended but not required.
Course Format:
Participants will have the opportunity to work with real-world datasets and experiment with AI models for specific cancer research problems.
Assessment and Certification:
Upon successful completion, participants will receive certificate of 1 ECTS. Pass/fail
Teacher:
Ioanna G. Chouvarda is Associate Professor in Medical Informatics and Biomedical Data Analysis at Aristotle University of Thessaloniki, Greece. Currently, she is working at the Lab of Computing, Medical Informatics and Biomedical-Imaging Technologies, having R&D and educational duties. Her research interests involve biomedical and bioinformatics signal processing, cardiac modelling, sleep modelling, ehealth and telemedicine applications, and medical information management systems . In her research, she has close cooperation with medical clinics and institutes, in Greece and abroad.
More about Ioanna: https://sites.google.com/site/ichouvarda/home?authuser=1