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.