The Second Biomedical Data Science Summer School and Conference (BIOMED DATA 2026) will be held in Budapest from July 6 to 17, 2026. Building on the success of its first edition, this international event brings together education, research, and professional networking in the rapidly evolving field of biomedical data science. The program consists of two interconnected yet independently accessible components. The 7-day Summer School offers intensive, hands-on training in health data science, providing participants with up-to-date methodological knowledge and practical skills. It is followed by a scientific Conference dedicated to cutting-edge research in data-intensive biomedical sciences. The Conference welcomes contributions addressing challenges in biological and medical research driven by large-scale and complex data. Core topics include artificial intelligence and machine learning in biomedicine, multi-omics data integration, medical imaging and computational vision, natural language processing for clinical data, explainable and trustworthy AI, computational modeling of biological systems, digital health technologies, network science applications, causal inference, and advanced biostatistical methods. Distinguished keynote speakers include David Fenyo, Petra Vertes, Jorg Menche, and Andreas Dengel, representing leading international institutions. Beyond the scientific sessions, the event provides valuable opportunities for networking and interdisciplinary exchange among researchers, clinicians, and data scientists.

The Second Biomedical Data Science Summer School & Conference (BIOMED DATA 2026)

Following the success of last year’s event, we are delighted to announce the Second Biomedical Data Science Summer School & Conference (BIOMED DATA 2026), taking place in Budapest from July 06–17, 2026.

 

This two-part event combines intensive training in health data science with an international scientific conference dedicated to cutting-edge research in data-intensive biological and medical sciences.

 

🎓 Summer School (July 06–14, 2026)

Participants will engage in a 7-day intensive training program in biomedical data science, covering state-of-the-art methodologies in health data analytics, artificial intelligence, and network science.

 

📢 Conference (July 15–17, 2026)

The Conference welcomes contributions addressing challenges in data-intensive biological and medical research, with a particular focus on the development of innovative methodologies advancing biomedical 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

 

We are honored to welcome the following distinguished Keynote Speakers:

• David Fenyő – NYU Grossman School of Medicine
• Petra Vértes – University of Cambridge
• Jörg Menche – University of Vienna
• Andreas Dengel – RPTU Kaiserslautern & DFKI

 

Beyond the scientific program, the Conference offers valuable networking opportunities, including a Welcome Reception with an Exhibition Talk and the Conference Dinner.

 

The Conference Abstract Book will be published with an ISBN number.