Hybrid Conferencee

International Conference on AI and Computational Biology (ICAICB - 26)

4th - 5th December 2026 | Samarkand, Uzbekistan

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Samarkand. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Samarkand event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Samarkand conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Samarkand, 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 Samarkand."
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 9
SDG 9 Industry, Innovation and Infrastructure
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

AI-Driven Approaches in Genomics

This track focuses on the application of artificial intelligence techniques in genomic research. It aims to explore how machine learning can enhance genomic data analysis and interpretation.

Track 02

Data Science Innovations in Proteomics

This session will highlight the role of data science in advancing proteomic studies. Participants will discuss novel methodologies for analyzing protein interactions and functions using large-scale data.

Track 03

Bioinformatics Tools for Systems Biology

This track will cover the development and application of bioinformatics tools in systems biology. Emphasis will be placed on integrating multi-omics data to understand biological systems comprehensively.

Track 04

Big Data Analytics in Biomedical Research

This session will explore the challenges and solutions associated with big data analytics in the biomedical field. Discussions will include data integration, storage, and analysis techniques for large-scale biological datasets.

Track 05

Workflow Automation in Computational Biology

This track will focus on the automation of workflows in computational biology to enhance efficiency and reproducibility. Participants will share insights on tools and frameworks that facilitate automated data processing and analysis.

Track 06

Machine Learning for Biomarker Discovery

This session will delve into the application of machine learning algorithms for the identification of novel biomarkers. The discussions will cover case studies and methodologies that demonstrate the potential of AI in biomarker research.

Track 07

Functional Genomics and AI Integration

This track aims to explore the intersection of functional genomics and artificial intelligence. Participants will discuss how AI can be leveraged to interpret functional genomic data and enhance our understanding of gene function.

Track 08

Protein Structure Prediction using AI Techniques

This session will focus on the advancements in protein structure prediction facilitated by artificial intelligence. Participants will present innovative approaches that improve the accuracy and efficiency of predicting protein structures.

Track 09

Drug Discovery and Computational Methods

This track will examine the role of computational methods in the drug discovery process. Discussions will include the use of AI and data science in identifying potential drug candidates and optimizing their efficacy.

Track 10

Ethics and Challenges in AI-Driven Biology

This session will address the ethical considerations and challenges associated with the use of AI in biological research. Participants will engage in discussions about data privacy, bias, and the implications of AI technologies in healthcare.

Track 11

Emerging Trends in Biomedical Informatics

This track will explore the latest trends and technologies in biomedical informatics. Participants will discuss how advancements in AI and data science are transforming the landscape of biomedical research and healthcare delivery.