Hybrid Conferencee

International Conference on Data Science and Network Biology (ICDSNB - 26)

16th - 17th October 2026 | Chengdu, China
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Chengdu. 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 Chengdu 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 Chengdu conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Chengdu, 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 Chengdu."
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

Advancements in Artificial Intelligence for Biomedical Applications

This track focuses on the integration of artificial intelligence techniques in biomedical research, highlighting innovative applications and methodologies. Participants will explore case studies that demonstrate the transformative impact of AI on healthcare outcomes.

Track 02

Data Science Techniques in Genomic Research

This session will delve into the application of data science methodologies in genomic studies, emphasizing data analysis, interpretation, and visualization. Attendees will discuss the challenges and breakthroughs in leveraging large genomic datasets for biological insights.

Track 03

Bioinformatics Approaches to Proteomics

This track will examine the role of bioinformatics in proteomics, focusing on data integration, analysis, and interpretation of protein-related data. Participants will share advancements in computational tools that facilitate proteomic research and biomarker discovery.

Track 04

Machine Learning in Systems Biology

This session will explore the application of machine learning algorithms in systems biology, emphasizing their role in modeling complex biological systems. Researchers will present novel approaches that enhance our understanding of biological networks and interactions.

Track 05

Computational Biology: Methods and Applications

This track will cover the latest computational biology methods, including algorithm development and software tools for biological data analysis. Participants will discuss real-world applications that demonstrate the utility of computational approaches in biological research.

Track 06

Data Mining Techniques for Biomedical Research

This session will focus on data mining techniques applied to biomedical datasets, highlighting methods for extracting meaningful patterns and insights. Researchers will present case studies that illustrate the potential of data mining in advancing medical knowledge.

Track 07

Predictive Analytics in Healthcare

This track will explore the use of predictive analytics in healthcare settings, emphasizing its role in improving patient outcomes and operational efficiency. Participants will discuss models and tools that enable proactive decision-making in clinical environments.

Track 08

Workflow Automation in Data Science

This session will address the importance of workflow automation in data science, showcasing tools and frameworks that streamline data processing and analysis. Attendees will learn how automation can enhance reproducibility and efficiency in research.

Track 09

Functional Genomics: Techniques and Innovations

This track will highlight innovative techniques in functional genomics, focusing on methods that elucidate gene function and regulation. Participants will share insights on experimental designs and computational analyses that drive discoveries in gene functionality.

Track 10

Biomarker Discovery through Integrative Approaches

This session will explore integrative approaches to biomarker discovery, emphasizing the combination of genomic, proteomic, and clinical data. Researchers will present methodologies that enhance the identification and validation of biomarkers for disease diagnosis and treatment.

Track 11

Ethical Considerations in Data Science and Biology

This track will address the ethical implications of data science applications in biology and healthcare, focusing on data privacy, consent, and the responsible use of AI. Participants will engage in discussions about best practices and regulatory frameworks that guide ethical research.