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Call For Papers

The ICAMCB bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Applied Mathematics,Mathematical Modeling, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Mathematical models in genomics research
  • Bioinformatics algorithms for sequence analysis
  • Statistical methods in computational biology
  • Modeling biological networks and pathways
  • Mathematical modeling of disease spread
  • Computational methods in systems biology
  • Machine learning in bioinformatics applications
  • Mathematical modeling of protein interactions
  • Data integration in computational biology
  • Mathematical modeling of metabolic networks
  • Bioinformatics tools for data analysis
  • Mathematical modeling of ecological systems
  • Statistical genetics and population modeling
  • Mathematical modeling of cellular processes
  • Computational approaches to drug discovery
  • Mathematical modeling of evolutionary dynamics
  • Network analysis in biological systems
  • Mathematical modeling of immune responses
  • Computational methods for personalized medicine
  • Mathematical modeling of microbiome interactions

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Conference Alert

Due to heightened regional tensions and travel risks, the conference may be conducted in virtual-only mode. Updates regarding participation format will be communicated in advance.