International Conference on Biomedical Data Science and Bioinformatics
(ICBDSB - 26)

2nd - 3rd December 2026 New York, USA (Hybrid Event)

Call for Paper

The ICBDSB is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Biomedical Engineering,Bioinformatics,Biotechnology, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data science applications in biomedical research
  • Bioinformatics for large-scale data analysis
  • Machine learning in disease prediction models
  • Statistical methods in biomedical data science
  • Data visualization techniques for biomedicine
  • Ethics of data sharing in healthcare
  • Patient-centric data science approaches
  • Integration of clinical and genomic data
  • Artificial intelligence in medical diagnostics
  • Big data challenges in healthcare analytics
  • Predictive modeling for patient outcomes
  • Data privacy and security in biomedical research
  • Collaborative data science in drug development
  • Real-world evidence in biomedical studies
  • Translational data science in clinical applications
  • Emerging technologies in biomedical data science
  • Health informatics and data-driven decisions
  • Interdisciplinary approaches to data science
  • Impact of data science on healthcare delivery
  • Future directions in biomedical data science
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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