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
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
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Track 01
Advancements in Machine Learning for Genomic Data Analysis
This track focuses on the application of machine learning techniques to analyze genomic data, enhancing our understanding of genetic variations. Researchers are invited to present novel algorithms that improve the accuracy of genomic predictions and interpretations.
Track 02
AI-Driven Approaches in Proteomics
This session explores the integration of artificial intelligence in proteomics, emphasizing the development of algorithms for protein structure prediction and function annotation. Contributions that demonstrate innovative uses of AI to interpret proteomic data are highly encouraged.
Track 03
Computational Methods in Systems Biology
This track highlights computational approaches that model complex biological systems using machine learning algorithms. Participants are invited to discuss methodologies that integrate multi-omics data for a holistic understanding of biological processes.
Track 04
Predictive Analytics in Biomedical Research
This session focuses on the use of predictive analytics in biomedical research, particularly in the context of disease prediction and patient stratification. Papers that present novel machine learning models for predictive tasks in healthcare are welcome.
Track 05
Workflow Automation in Bioinformatics
This track addresses the automation of bioinformatics workflows through the application of machine learning algorithms. Contributions that showcase efficient and scalable solutions for data processing and analysis in bioinformatics are encouraged.
Track 06
Machine Learning for Biomarker Discovery
This session is dedicated to the exploration of machine learning techniques aimed at identifying novel biomarkers for various diseases. Researchers are invited to present their findings on algorithms that enhance biomarker discovery and validation.
Track 07
Innovations in Drug Discovery Using AI
This track focuses on the transformative role of artificial intelligence in drug discovery processes. Papers that highlight new machine learning methodologies for drug design, repurposing, and optimization are sought.
Track 08
Functional Genomics and Machine Learning
This session explores the intersection of functional genomics and machine learning, emphasizing the analysis of gene function and regulation. Contributions that utilize machine learning to interpret functional genomic data are highly encouraged.
Track 09
Data Science Techniques in Biomedical Informatics
This track investigates the application of data science methodologies in the field of biomedical informatics. Researchers are invited to present studies that leverage data science tools to enhance the management and analysis of biomedical data.
Track 10
Ethical Considerations in AI and Bioinformatics
This session addresses the ethical implications of deploying artificial intelligence in bioinformatics research. Discussions will focus on responsible AI practices, data privacy, and the societal impact of AI-driven bioinformatics solutions.
Track 11
Collaborative Approaches in Computational Biology
This track emphasizes the importance of interdisciplinary collaboration in computational biology, particularly in the context of machine learning applications. Papers that showcase successful partnerships between biologists, data scientists, and engineers are encouraged.