Trends in Modeling Biomedical Complex Systems

Overview

Journal BMC Bioinformatics

Publisher Biomed Central

Specialty Biology

Date 2009 Oct 16

PMID 19828068

Citations 6

Authors

Luciano Milanesi

Paolo Romano

Gastone Castellani

Daniel Remondini

Petro Lio

Affiliations

Soon will be listed here.

Abstract

In this paper we provide an introduction to the techniques for multi-scale complex biological systems, from the single bio-molecule to the cell, combining theoretical modeling, experiments, informatics tools and technologies suitable for biological and biomedical research, which are becoming increasingly multidisciplinary, multidimensional and information-driven. The most important concepts on mathematical modeling methodologies and statistical inference, bioinformatics and standards tools to investigate complex biomedical systems are discussed and the prominent literature useful to both the practitioner and the theoretician are presented.

Citing Articles

Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.

De Domenico M, Allegri L, Caldarelli G, dAndrea V, Di Camillo B, Rocha L NPJ Digit Med. 2025; 8(1):37.

PMID: 39825012 PMC: 11742446. DOI: 10.1038/s41746-024-01402-3.

Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin.

Barbiero P, Torne R, Lio P Front Genet. 2021; 12:652907.

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Systems biology approaches to study the molecular effects of caloric restriction and polyphenols on aging processes.

Lacroix S, Lauria M, Scott-Boyer M, Marchetti L, Priami C, Caberlotto L Genes Nutr. 2015; 10(6):58.

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Integrative network-based approach identifies key genetic elements in breast invasive carcinoma.

Hamed M, Spaniol C, Zapp A, Helms V BMC Genomics. 2015; 16 Suppl 5:S2.

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Systems biology and brain activity in neuronal pathways by smart device and advanced signal processing.

Castellani G, Intrator N, Remondini D Front Genet. 2014; 5:253.

PMID: 25206359 PMC: 4143968. DOI: 10.3389/fgene.2014.00253.

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