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International Conference on AI for Proteomics and Genomics

📅 18–19 Aug 2026 📍 surat thani, Thailand 👤 Standard / Listener

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$237

virtual · $237 in person

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

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.

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.

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

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.

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.

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.

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.

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.

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.

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

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.