BIOMED DATA 2025 2025 : Biomedical Data Science Summer School and Conference
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.
Note that the Conference Abstract Book will be published with an ISBN number.
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.
Note that the Conference Abstract Book will be published with an ISBN number.