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Back to the event list08/04/2025

Biomedical Data Science Summer School and Conference

28 Jul. 2025, 8:00 AM
An excellent opportunity for those interested in data science, AI, and network science applications in healthcare.
2025.07.28. 08:00
Budapesti Corvinus Egyetem

Date: 28 July 2025 – 08 August 2025 

Location: Semmelweis University 

Language of the event: English 

 

We would like to draw your attention to the Biomedical Data Science Summer School and Conference, organized by the Department of Biostatistics and Network Medicine at Semmelweis University. This event offers an excellent opportunity for those interested in health data science as well as the biomedical applications of artificial intelligence and network science. 

 

Summer School (28 July 2025 05 August 2025) 

Participants will engage in an intensive, 60-hour English-language training program in medical data science, led by internationally recognized experts. Upon successful completion, participants will receive 2 ECTS credits, accredited through the university’s Doctoral School. 

 

Early Bird participation fee: €850 
Early Bird registration deadline: 20 May 22025 

 

Key keynote speakers: 

  • Ferenc Krausz – Nobel Laureate in Physics 

  • Kosmas Kepesidis – Chief Data Scientist, CMF 

 

Highlighted courses and instructors: 

  • Medical Data VisualizationKaty Börner 

  • Deep Learning for Unstructured Medical DataKosmas Kepesidis 

  • Machine Learning for Tabular Medical DataAndrás Gézsi 

  • Biomedical Network ScienceGergely Palla 

 

Conference (06-08 August 2025) 

Following the summer school, a scientific conference will be held. 

 

Early Bird participation fee: €350 (+€60 for the gala dinner) 
Abstract submission deadline: 30 April 2025 

 

Key keynote speakers: 

  • Katy Börner – Indiana University Bloomington 

  • Albert-László Barabási – Northeastern University & Harvard Medical School 

  • Péter Horváth – Helmholtz Munich & University of Szeged 

  • Pál Maurovich-Horvat – Semmelweis University 

 

For further details and registration, please visit: https://www.biomed-data.semmelweis.hu/ 

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