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ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

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Hybrid Event

10th - 11th October 2026 | Athens, Greece

International Conference on Computational Modeling in Healthcare and Life Sciences (ICCMHLS - 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 3 — Good Health and Well-being
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
Explore All Session Tracks
Track 01
Mathematical Models in Healthcare

This track focuses on the development and application of mathematical models to understand complex healthcare systems. Emphasis will be placed on innovative modeling approaches that enhance decision-making in clinical settings.

Track 02
Statistical Methods in Life Sciences

This session will explore advanced statistical techniques employed in life sciences research. Topics will include experimental design, hypothesis testing, and the analysis of high-dimensional data.

Track 03
Computational Methods in Bioinformatics

This track will highlight computational techniques used in bioinformatics for analyzing biological data. Participants will discuss algorithms for sequence alignment, gene expression analysis, and protein structure prediction.

Track 04
Machine Learning Applications in Healthcare

This session will cover the application of machine learning techniques to solve healthcare-related problems. Case studies will illustrate the potential of predictive analytics in patient outcomes and treatment optimization.

Track 05
Simulation Techniques in Life Sciences

This track will delve into simulation methodologies used to model biological processes and healthcare systems. Participants will share insights on discrete event simulation, agent-based modeling, and system dynamics.

Track 06
Optimization Algorithms in Healthcare

This session will focus on optimization algorithms and their application in healthcare settings. Discussions will include resource allocation, scheduling, and operational efficiency in medical facilities.

Track 07
Data Science Innovations in Life Sciences

This track will explore the intersection of data science and life sciences, emphasizing novel approaches to data analysis and interpretation. Participants will discuss big data challenges and solutions in genomic research.

Track 08
Artificial Intelligence in Biomedical Research

This session will investigate the role of artificial intelligence in advancing biomedical research. Topics will include AI-driven drug discovery, personalized medicine, and the ethical implications of AI in healthcare.

Track 09
Statistical Modeling for Genomics and Proteomics

This track will focus on statistical modeling techniques specifically tailored for genomics and proteomics data analysis. Participants will discuss methods for handling high-throughput data and deriving biological insights.

Track 10
Quantitative Methods in Systems Biology

This session will explore quantitative approaches used in systems biology to understand complex biological networks. Emphasis will be placed on integrative modeling and the analysis of multi-omics data.

Track 11
Applied Mathematics in Healthcare Solutions

This track will highlight the application of applied mathematics to address real-world healthcare challenges. Participants will present case studies demonstrating the impact of mathematical approaches on health outcomes.

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.