Registration summary
ConferenceICAMSB
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICAMSB conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 AI-Driven Approaches in Systems Biology +
This track focuses on the integration of artificial intelligence methodologies in the modeling and analysis of biological systems. Emphasis will be placed on innovative AI techniques that enhance our understanding of complex biological interactions.
02 Data Science Techniques in Bioinformatics +
This session explores the application of data science principles to bioinformatics challenges, including data integration and analysis. Participants will discuss novel algorithms and tools that facilitate the interpretation of biological data.
03 Machine Learning Applications in Genomics +
This track highlights the use of machine learning algorithms in genomic research, focusing on their role in data interpretation and predictive modeling. Case studies will illustrate how these techniques advance our understanding of genetic variations.
04 Computational Biology and Systems Modeling +
This session addresses the computational methods used to model biological systems and processes. Discussions will include the development of simulations that replicate biological phenomena and their implications for research.
05 Proteomics and AI: Unraveling Protein Complexities +
This track examines the intersection of proteomics and artificial intelligence, focusing on the predictive modeling of protein structures and functions. Participants will share insights on how AI enhances proteomic data analysis.
06 Big Data Analytics in Biomedical Research +
This session delves into the role of big data analytics in advancing biomedical research, emphasizing the extraction of meaningful insights from large datasets. Topics will include data mining techniques and their applications in health sciences.
07 Functional Genomics: AI and Data-Driven Discoveries +
This track focuses on the application of AI in functional genomics, exploring how data-driven approaches can reveal gene functions and interactions. Participants will discuss methodologies that enhance functional annotation and gene prediction.
08 Workflow Automation in Bioinformatics +
This session addresses the automation of bioinformatics workflows through AI and data science techniques. Discussions will center on tools and frameworks that streamline data processing and analysis in biological research.
09 Biomarker Discovery Using Machine Learning +
This track highlights the role of machine learning in the identification and validation of biomarkers for various diseases. Participants will share methodologies that leverage AI to enhance the accuracy and efficiency of biomarker discovery.
10 Data Mining Techniques in Genomic Research +
This session explores advanced data mining techniques applied to genomic datasets, focusing on the extraction of patterns and insights. Participants will discuss case studies that demonstrate the impact of data mining on genomic discoveries.
11 Integrative Approaches in Systems Biology +
This track emphasizes integrative methodologies that combine various data types and sources in systems biology research. Discussions will include the challenges and solutions in integrating multi-omics data for comprehensive biological insights.
