Registration summary
ConferenceICAABMI
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
ICAABMI conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 AI-Driven Biomarker Discovery +
This track focuses on the innovative applications of artificial intelligence in identifying and validating biomarkers for various diseases. Participants will explore methodologies that enhance the accuracy and efficiency of biomarker discovery processes.
02 Machine Learning in Genomics +
This session will delve into the integration of machine learning techniques in genomic research, emphasizing their role in data interpretation and predictive modeling. Attendees will discuss case studies showcasing successful applications and future directions.
03 Computational Approaches in Proteomics +
This track highlights the use of computational methods in proteomics, focusing on data analysis, protein structure prediction, and functional annotation. Experts will present cutting-edge tools and frameworks that facilitate large-scale proteomic studies.
04 Systems Biology and AI Integration +
This session aims to explore the intersection of systems biology and artificial intelligence, emphasizing how AI can enhance the modeling of biological systems. Discussions will include AI-driven simulations and their implications for understanding complex biological interactions.
05 Predictive Analytics in Healthcare +
This track will examine the role of predictive analytics in healthcare, particularly in patient outcome forecasting and treatment optimization. Researchers will share insights on leveraging data science techniques to improve clinical decision-making.
06 Workflow Automation in Biomedical Research +
This session focuses on the automation of research workflows using AI technologies, aiming to streamline data processing and analysis in biomedical informatics. Participants will discuss tools and frameworks that enhance reproducibility and efficiency in research.
07 AI Applications in Drug Discovery +
This track will explore the transformative impact of artificial intelligence on drug discovery processes, from target identification to lead optimization. Experts will present case studies that demonstrate the efficacy of AI in accelerating drug development timelines.
08 Functional Genomics and Data Science +
This session will highlight the application of data science techniques in functional genomics, focusing on the analysis of gene function and regulation. Researchers will discuss innovative approaches to integrating large-scale genomic data with functional insights.
09 Bioinformatics Tools for Data Integration +
This track emphasizes the development and application of bioinformatics tools designed for the integration of diverse biological data types. Participants will explore methodologies that enhance data interoperability and facilitate comprehensive biological analyses.
10 Ethical Considerations in AI and Biomedical Research +
This session will address the ethical implications of deploying AI technologies in biomedical research, focusing on data privacy, algorithmic bias, and accountability. Experts will engage in discussions about best practices and regulatory frameworks.
11 Emerging Trends in AI for Biomedical Informatics +
This track will explore the latest trends and advancements in AI applications within the field of biomedical informatics. Participants will discuss future directions and potential breakthroughs that could reshape the landscape of biomedical research.
