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Hybrid Event

6th - 7th July 2026 | Vientiane, Laos

International Conference on Mathematical Modeling in Systems Biology (ICMMSB - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 2 — Zero Hunger
SDG 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 15 — Life on Land
SDG 17 — Partnerships for the Goals
Explore All Session Tracks
Track 01
Mathematical Foundations of Systems Biology

This track focuses on the theoretical underpinnings of mathematical modeling in systems biology. It aims to explore the mathematical frameworks that facilitate the understanding of complex biological systems.

Track 02
Computational Approaches in Gene Regulatory Networks

This session will delve into computational methods used to model and analyze gene regulatory networks. Participants are encouraged to present innovative algorithms and simulations that enhance our understanding of gene interactions.

Track 03
Modeling Metabolic Pathways: Techniques and Applications

This track will address the mathematical modeling of metabolic pathways, emphasizing both established techniques and novel applications. Contributions that showcase the integration of experimental data with computational models are particularly welcome.

Track 04
Cellular Dynamics and Mathematical Simulation

This session will explore the dynamics of cellular processes through mathematical modeling and simulation. Discussions will include the use of differential equations and agent-based models to capture cellular behavior.

Track 05
Quantitative Biology: Statistical Methods and Applications

This track focuses on the application of statistical methods in quantitative biology. Participants are invited to share their insights on biostatistical techniques that enhance the analysis of biological data.

Track 06
Network Modeling in Biological Systems

This session will investigate the role of network modeling in understanding biological systems. Topics may include the analysis of interaction networks and the application of graph theory in biological contexts.

Track 07
Evolutionary Dynamics: Mathematical Perspectives

This track aims to explore mathematical models that describe evolutionary dynamics in biological systems. Contributions may include theoretical studies as well as computational simulations that shed light on evolutionary processes.

Track 08
Applied Mathematics in Systems Biology

This session will highlight the application of mathematical techniques to solve problems in systems biology. Participants are encouraged to present case studies that demonstrate the impact of applied mathematics on biological research.

Track 09
Computational Methods for Predictive Modeling

This track focuses on computational methods that enable predictive modeling in biological contexts. Discussions will center around algorithms and tools that enhance the accuracy and reliability of biological predictions.

Track 10
Interdisciplinary Approaches to Systems Biology

This session will explore interdisciplinary approaches that combine mathematics, biology, and computational science. Contributions that highlight collaborative efforts and innovative methodologies are particularly encouraged.

Track 11
Challenges and Future Directions in Mathematical Modeling

This track will address the current challenges faced in mathematical modeling within systems biology and discuss future directions for research. Participants are invited to share their perspectives on emerging trends and potential solutions.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.