Mathematical Methods and Models in Biosciences (ICMMMB-26)

This track focuses on the development and application of mathematical models to understand complex biological systems. Participants will explore various modeling techniques and their implications in fields such as ecology, epidemiology, and genetics.

This session emphasizes the role of statistical methodologies in analyzing biological data. It aims to present innovative statistical techniques that enhance the interpretation of experimental results and observational studies.

This track addresses the intersection of mathematics, computer science, and biology through computational methods. Discussions will include algorithms for sequence analysis, structural biology, and systems biology.

This session explores the mathematical frameworks used to model drug absorption, distribution, metabolism, and excretion. Participants will discuss the implications of these models for drug development and therapeutic strategies.

This track examines the application of dynamical systems theory to ecological models. It will cover topics such as population dynamics, species interactions, and ecosystem stability.

This session focuses on the application of statistical methods to genetic data analysis. Topics will include linkage analysis, association studies, and the impact of genetic variation on phenotypic traits.

This track investigates mathematical approaches to modeling the spread and control of infectious diseases. Participants will explore various models, including compartmental models and network-based approaches.

This session highlights the use of mathematical and statistical techniques in bioinformatics for data mining biological information. Topics will include machine learning applications and the analysis of high-throughput data.

This track focuses on the application of mathematical techniques in conservation biology and ecological research. Discussions will include modeling species extinction, habitat fragmentation, and conservation strategies.

This session explores mathematical models used to understand neural dynamics and brain function. Topics will include network models of neuronal interactions and mathematical descriptions of cognitive processes.

This track emphasizes the role of mathematical techniques in the analysis of biological systems at the molecular level. Participants will discuss modeling approaches that integrate various biological data types to understand cellular processes.