Flex Conference (Physical / Digital)

International Conference on AI in Functional Genomics (ICAFG - 26)

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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.

SDG 3 SDG 3 — Good Health and Well-being
SDG 4 SDG 4 — Quality Education
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 16 SDG 16 — Peace, Justice and Strong Institutions
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.

Important Dates

Early Bird Registration :1st July 2026

Paper Submission Deadline :6th July 2026

Last Date of Registration : 16th July 2026

Date of Conference : 31st - 1st August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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