International Conference on AI for Proteomics and Genomics

ICAIPG

25th Sep – 26th Sep 2026 Zurich, Switzerland

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Registration Summary

Conference ICAIPG

Date 25th Sep – 26th Sep 2026

Location Zurich, Switzerland

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in AI-Driven Proteomics +

This track focuses on the latest developments in artificial intelligence applications for proteomics research. Topics include machine learning algorithms for protein identification, quantification, and characterization.

SDG 3 SDG 9

02 Data Science Techniques in Genomic Research +

This session explores innovative data science methodologies applied to genomic data analysis. Emphasis will be placed on big data analytics and its role in uncovering genomic insights.

SDG 3 SDG 4

03 Bioinformatics Approaches for Drug Discovery +

This track highlights bioinformatics strategies that facilitate the drug discovery process. Discussions will cover computational models and predictive analytics for identifying potential drug candidates.

SDG 3 SDG 9

04 Machine Learning in Functional Genomics +

This session delves into the integration of machine learning techniques in functional genomics. Participants will examine case studies demonstrating the impact of AI on gene function prediction.

SDG 3 SDG 4

05 Systems Biology and AI Integration +

This track investigates the convergence of systems biology and artificial intelligence. The focus will be on how AI can enhance the modeling and simulation of biological systems.

SDG 3 SDG 9

06 Predictive Analytics in Personalized Medicine +

This session addresses the role of predictive analytics in advancing personalized medicine. Attendees will explore AI-driven approaches to tailor treatments based on individual genomic profiles.

SDG 3 SDG 4

07 Protein Structure Prediction Using AI +

This track centers on the application of AI in predicting protein structures. The session will cover novel algorithms and their implications for understanding protein function.

SDG 3 SDG 9

08 Biomarker Discovery through AI Techniques +

This session focuses on the utilization of AI methods for biomarker discovery in various diseases. Participants will discuss the challenges and breakthroughs in identifying reliable biomarkers.

SDG 3 SDG 4

09 Big Data Analytics in Genomics +

This track examines the application of big data analytics in genomic studies. Emphasis will be placed on tools and frameworks that manage and analyze large genomic datasets.

SDG 3 SDG 9

10 Computational Biology Innovations +

This session highlights cutting-edge innovations in computational biology facilitated by AI. Discussions will include algorithmic advancements and their applications in biological research.

SDG 3 SDG 4

11 Ethical Considerations in AI for Genomics +

This track addresses the ethical implications of using AI in genomics and proteomics. Participants will engage in discussions about data privacy, consent, and the societal impact of AI technologies.

SDG 16 SDG 10