Biomedical Data Processing and Artificial Intelligence “BEATRICE”

Szeged, Hungary

Date 30 Jun 2025 08:00 - 4 Jul 2025 16:00

Location Szeged, Hungary

Host university University of Szeged (USZ)

Mode Physical

WP WP 3

Target groups Academic Staff, Master students, PhD students, Post-docs, Researchers, Undergraduate students

Contact person László Maróti - maroti.laszlo.02@szte.hu

Duration Up to 1 week in length

Reference code EUG2_T3_6_0094

Type of event Summer school

Recognition Transcript of records - ECTS

Language English

Recruitment of participants Qualitative Assessment

Number of open spots 30

Is eligible to international certificate Yes

Evaluation criteria 80% - Motivation 20% - Timestamp of application

Isced fields of study 058 - Interdisciplinary programmes involving broad field 05: Natural sciences, mathematics and statistics, 0912 - Medicine

Find out more and register now
Deadline: 28 Apr 2025 23:59

Participating students are trained by contact lectures and practical sessions involving the personal use of computers on various topics related to the development of transversal skills:

(Biomedical) data collection, signal processing and analyses
Artificial intelligence and machine learning in
- Natural language processing, Biological image processing, Gene expression analysis, Radiation treatment planning
(Medical) image processing applications
From literature knowledge to mechanistic modelling
Health data science and management
Statistical decision making
Dissemination of scientific results
Data processing in epidemiology
- Data collection and interpretation, conception and design, Population testing and tracing, Mathematical modelling of the COVID-19 outbreak, Complex economic systems
Emerging additive technologies, 3D printing

Content and Methodology

The aim is to educate students for the use of modern information technologies for effective research work and for the dissemination of scientific results from the collected data.

Overview of the basis of data processing in different biomedical applications and state-of-the-art examples presented by distinguished scientists from the five participating universities of the EUGLOH alliance.

Introduction to the topic of artificial intelligence with a special focus on the multidisciplinary research activities.

Target audience:

Physical attendance at the University of Szeged (Hungary): maximum 30 students from bachelor, master and PhD programs from all faculties of the EUGLOH member universities.

Online participation at the lectures: Students studying all education levels at the EUGLOH member universities.

Requirements: No special background knowledge is required. The school is also open for junior and senior scientists of the participating universities.

Please specify in your motivation letter whether you want to participate in person or online!

HOW ARE PARTICIPANTS SELECTED?

Motivation: as a primary filter, applicants must submit a motivation letter explaining their motivation to apply for the event (maximum 3000 characters).
Timestamp of application (‘first come, first served’) will be used as a secondary filter to break possible ties between applicants.

WHAT PEDAGOGICAL METHODS/TOOLS ARE APPLIED?

Personal lectures for students participating in person and online video streaming for distant education. Personal practical sessions by using computer applications for biomedical data analysis, telemedicine, image processing and artificial intelligence. Interactive communication tools, teamwork, networking.