Biomedical Data Science Summer School and Conference 2025 (Application deadline extension!!)

On behalf of the Institute of Biostatistics and Network Science, we are delighted to invite you to the 1st Biomedical Data Science Conference (BIOMED-DATA 25), taking place at Semmelweis University in Budapest, Hungary, from August 6 to 8, 2025. We welcome researchers to join us as presenters or participants, engaging in discussions on cutting-edge topics in biomedical data science.

 

CALL FOR ABSTRACTS

The conference welcomes papers addressing data-intensive biological and medical research challenges, with a focus on developing novel methodologies to advance biomedical science discovery, including but not limited to:

• Machine learning and AI applications in biomedical research

• Multi-omics data integration and analysis

• Medical imaging and computer vision in healthcare

• Natural language processing for clinical and biomedical texts

• Explainable AI and trustworthy machine learning in medicine

• Computational modeling of biological systems

• Wearable and sensor-based health data analytics

• Privacy-preserving techniques for biomedical data

• Digital health and personalized medicine

• Drug discovery and biomarker identification through data science

• Network science tools in biomedical research

• Causal inference in biomedical research

• Biostatistical approaches for biomedical data analysis

 

The conference also offers valuable networking opportunities, including a Welcome Reception with an Exhibition Talk on Wednesday and, of course, the Conference Dinner on Thursday.

 

AIMS AND GOALS OF THE SUMMER SCHOOL

How can networks help us identify critical relationships in biomedical systems? How can we uncover hidden connections between genes and predict disease pathways? How can visualizing medical data improve diagnostics and treatment outcomes? How can machine learning and deep learning models transform the analysis of complex medical data?

If you're eager to explore these questions, join us at the Biomedical Data Science Summer School! This program equips participants with the theoretical foundation and practical skills to apply network science, data visualization, and machine learning to real-world biomedical challenges.

The curriculum focuses on four key areas:

1. Biomedical Network Science
   Learn how networks can model relationships between genes, proteins, diseases, and patient data to uncover patterns and predict interactions.

2. Medical Data Visualization
   Explore practical methods for creating clear, interactive visualizations of complex medical datasets, improving interpretability and decision-making.

3. Machine Learning on Tabular Medical Data
   Apply machine learning techniques to structured datasets, such as electronic health records, to predict outcomes and identify risk factors.

4. Deep Learning on Unstructured Medical Data
   Gain hands-on experience with deep learning models to analyze unstructured data, including medical images, text, and genomic sequences.

GROUP PROJECTS

Participants will work in teams on data-driven projects, applying what they learn in the courses. Mentors will provide guidance, and teams will present their results to an expert jury at the end of the program. Dedicated time is set aside for project work and presentations, ensuring a practical and engaging learning experience.

CREDITS INFO

Participants who successfully complete the summer school will be awarded 4 ECTS. A certificate of completion will be provided by Semmelweis University, which can facilitate credit transfer to your home institution.

Others Details

Note that the Conference Abstract Book will be published with an ISBN number.

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