This track focuses on the latest methodologies and technologies in systems biology that enhance our understanding of human diseases. Emphasis will be placed on innovative network modeling techniques and their applications in disease research.

This session will explore the integration of various omics data, including genomics, proteomics, and metabolomics, to provide a comprehensive view of disease mechanisms. Participants will discuss challenges and strategies in multi-omics data analysis and interpretation.

This track aims to present computational models that elucidate complex disease pathways and their interactions. Researchers will share insights on the development and validation of these models in understanding disease progression.

This session will delve into the role of gene regulatory networks in the etiology of human diseases. Discussions will focus on the computational tools used to analyze these networks and their implications for therapeutic interventions.

This track will highlight the significance of protein-protein interactions in the context of human diseases. Presentations will cover methodologies for mapping these networks and their relevance to disease pathology.

This session will investigate the alterations in metabolic pathways associated with various diseases. Researchers will discuss how metabolic profiling can inform disease diagnosis and treatment strategies.