[email protected] +91 9789129171
ICAICB · Registering as Listener

International Conference on AI and Computational Biology

26 - 27 Oct 2026 Tampere, Finland Standard / Physical Participation
Listener Registration
$115
virtual · $175 in person
Registration Benefits:
Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resource materials
Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.


Coupon code

Have a code? Apply it here — the discount updates the total immediately.


Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICAICB
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.

Need help?

Contact our registration team:

+91 9789129171

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 •
SDGs
SDG-Aligned Research Themes

ICAICB conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 - Good Health and Well-being SDG 9 - Industry, Innovation and Infrastructure SDG 16 - Peace, Justice and Strong Institutions
01 AI-Driven Approaches in Genomics +
This track focuses on the application of artificial intelligence techniques in genomic research. It aims to explore how machine learning can enhance genomic data analysis and interpretation.
02 Data Science Innovations in Proteomics +
This session will highlight the role of data science in advancing proteomic studies. Participants will discuss novel methodologies for analyzing protein interactions and functions using large-scale data.
03 Bioinformatics Tools for Systems Biology +
This track will cover the development and application of bioinformatics tools in systems biology. Emphasis will be placed on integrating multi-omics data to understand biological systems comprehensively.
04 Big Data Analytics in Biomedical Research +
This session will explore the challenges and solutions associated with big data analytics in the biomedical field. Discussions will include data integration, storage, and analysis techniques for large-scale biological datasets.
05 Workflow Automation in Computational Biology +
This track will focus on the automation of workflows in computational biology to enhance efficiency and reproducibility. Participants will share insights on tools and frameworks that facilitate automated data processing and analysis.
06 Machine Learning for Biomarker Discovery +
This session will delve into the application of machine learning algorithms for the identification of novel biomarkers. The discussions will cover case studies and methodologies that demonstrate the potential of AI in biomarker research.
07 Functional Genomics and AI Integration +
This track aims to explore the intersection of functional genomics and artificial intelligence. Participants will discuss how AI can be leveraged to interpret functional genomic data and enhance our understanding of gene function.
08 Protein Structure Prediction using AI Techniques +
This session will focus on the advancements in protein structure prediction facilitated by artificial intelligence. Participants will present innovative approaches that improve the accuracy and efficiency of predicting protein structures.
09 Drug Discovery and Computational Methods +
This track will examine the role of computational methods in the drug discovery process. Discussions will include the use of AI and data science in identifying potential drug candidates and optimizing their efficacy.
10 Ethics and Challenges in AI-Driven Biology +
This session will address the ethical considerations and challenges associated with the use of AI in biological research. Participants will engage in discussions about data privacy, bias, and the implications of AI technologies in healthcare.
11 Emerging Trends in Biomedical Informatics +
This track will explore the latest trends and technologies in biomedical informatics. Participants will discuss how advancements in AI and data science are transforming the landscape of biomedical research and healthcare delivery.