International Conference on Artificial Intelligence in Bioinformatics Research (ICAIBR-26)

Conference Session Tracks

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 Good Health and Well-being

SDG 4 Quality Education

SDG 9 Industry, Innovation and Infrastructure

TRACK 01

Advancements in Machine Learning for Bioinformatics

This track focuses on the latest machine learning techniques applied to bioinformatics challenges. Participants will exp...

TRACK 02

Computational Genomics and Genomic Data Analysis

This session will delve into computational approaches for analyzing genomic data, including sequencing technologies and ...

TRACK 03

Predictive Analytics in Biomedical Research

This track emphasizes the role of predictive analytics in advancing biomedical research outcomes. Discussions will cente...

TRACK 04

Protein Structure Prediction and Modeling

This session will cover cutting-edge techniques in protein structure prediction, including deep learning and molecular d...

TRACK 05

Data Visualization Techniques in Bioinformatics

This track highlights innovative data visualization methods that facilitate the interpretation of complex biological dat...

TRACK 06

Systems Biology Approaches to Complex Biological Systems

This session will explore systems biology methodologies that integrate data from multiple biological layers to understan...

TRACK 07

Epigenomics: Insights and Applications

This track focuses on the emerging field of epigenomics and its implications for understanding gene regulation and expre...

TRACK 08

Innovations in Drug Discovery through AI

This session will explore how artificial intelligence is transforming the drug discovery process, from target identifica...

TRACK 09

Integration of Multi-Omics Data in Bioinformatics

This track examines the integration of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomi...

TRACK 10

Ethical Considerations in AI and Bioinformatics

This session will address the ethical implications of using artificial intelligence in bioinformatics research. Discussi...

TRACK 11

Future Trends in AI and Data Science for Bioinformatics

This track will explore emerging trends and future directions in the intersection of AI, data science, and bioinformatic...

Hybrid Event