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

International Conference on AI and Data Science in Metagenomics

6 - 7 Jan 2027 Bristol, UK 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

ConferenceICAIDSM
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

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

SDG 3 - Good Health and Well-being SDG 4 - Quality Education SDG 9 - Industry, Innovation and Infrastructure SDG 10 - Reduced Inequalities
01 Advancements in AI for Metagenomic Analysis +
This track focuses on the latest advancements in artificial intelligence techniques applied to metagenomic data analysis. Participants will explore novel algorithms and frameworks that enhance the interpretation of complex microbial communities.
02 Data Science Approaches in Genomic Research +
This session will delve into innovative data science methodologies that facilitate genomic research and analysis. Emphasis will be placed on big data analytics, visualization techniques, and their applications in genomics.
03 Machine Learning in Bioinformatics +
This track will highlight the role of machine learning in solving bioinformatics challenges, including sequence alignment and protein structure prediction. Attendees will discuss case studies demonstrating the efficacy of these techniques in real-world applications.
04 Computational Biology and Systems Biology Integration +
This session aims to explore the integration of computational biology and systems biology in understanding biological systems. Discussions will focus on modeling approaches and their implications for biological discovery.
05 Predictive Analytics in Biomarker Discovery +
This track will cover the application of predictive analytics in the identification and validation of biomarkers. Participants will examine case studies that illustrate the impact of data-driven approaches on clinical outcomes.
06 Functional Genomics and AI Techniques +
This session will investigate the intersection of functional genomics and artificial intelligence. The focus will be on how AI can enhance the understanding of gene function and regulation.
07 Workflow Automation in Biomedical Informatics +
This track will address the importance of workflow automation in biomedical informatics for improving efficiency and reproducibility. Attendees will learn about tools and frameworks that streamline data processing and analysis.
08 Drug Discovery and AI Innovations +
This session will explore the transformative role of AI in drug discovery processes. Participants will discuss cutting-edge methodologies that accelerate the identification of potential therapeutic candidates.
09 Proteomics Data Analysis through Data Science +
This track will focus on the application of data science techniques in the analysis of proteomics data. Discussions will include statistical methods and machine learning applications that enhance protein characterization.
10 Ethical Considerations in AI and Data Science +
This session will address the ethical implications of using AI and data science in metagenomics and bioinformatics. Participants will engage in discussions about data privacy, bias, and the responsible use of technology.
11 Emerging Trends in Metagenomics and AI +
This track will highlight emerging trends and future directions in the field of metagenomics enhanced by AI technologies. Attendees will explore innovative research and potential applications that could shape the future of this interdisciplinary field.