Hybrid Conferencee

International Conference on AI in Functional Genomics (ICAFG - 27)

25th - 26th January 2027 | Geneva, Switzerland
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Geneva conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Geneva, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Geneva."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

AI-Driven Approaches in Functional Genomics

This track focuses on the application of artificial intelligence techniques to enhance the understanding of functional genomics. Researchers are invited to present innovative methodologies that leverage AI for gene function prediction and analysis.

Track 02

Data Science Techniques in Genomic Research

This session will explore the integration of data science methodologies in genomic studies. Contributions that demonstrate the use of statistical and computational techniques to analyze large genomic datasets are encouraged.

Track 03

Machine Learning for Biomarker Discovery

This track emphasizes the role of machine learning in identifying and validating biomarkers for various diseases. Papers that showcase novel algorithms and their applications in biomarker research are highly sought after.

Track 04

Computational Biology and Systems Biology Integration

This session aims to discuss the convergence of computational biology and systems biology through AI methodologies. Researchers are invited to share insights on modeling biological systems and their interactions using advanced computational techniques.

Track 05

Predictive Analytics in Genomic Medicine

This track will highlight the use of predictive analytics in the context of genomic medicine. Contributions that illustrate how predictive models can inform clinical decision-making and patient outcomes are welcome.

Track 06

Bioinformatics Tools for Genomic Data Analysis

This session will focus on the development and application of bioinformatics tools designed for genomic data analysis. Papers that present novel software, algorithms, or workflows that enhance genomic research are encouraged.

Track 07

Drug Discovery Innovations Through AI

This track will explore the transformative impact of AI on drug discovery processes. Researchers are invited to present case studies and methodologies that demonstrate how AI can streamline drug development and optimize lead identification.

Track 08

Protein Structure Prediction Using AI

This session will delve into the advancements in protein structure prediction facilitated by artificial intelligence. Contributions that highlight novel algorithms and their applications in predicting protein structures are highly encouraged.

Track 09

Workflow Automation in Genomic Research

This track aims to discuss the automation of workflows in genomic research through AI and data science. Papers that showcase innovative approaches to streamline research processes and enhance reproducibility are welcome.

Track 10

Ethical Considerations in AI-Driven Genomics

This session will address the ethical implications of using AI in genomics research. Contributions that explore the balance between innovation and ethical responsibility in genomic studies are encouraged.

Track 11

Integrative Approaches in Genomics and AI

This track focuses on integrative methodologies that combine genomics with artificial intelligence. Researchers are invited to present interdisciplinary studies that highlight the synergy between these fields.