Developing and Applying Computational Models to Uncover Mechanistic Insights into Complex Biological Processes Across Molecular, Cellular, and Systemic Levels DOI

Selin Özalp

Next frontier., Journal Year: 2024, Volume and Issue: 8(1), P. 173 - 173

Published: Nov. 25, 2024

The complexity of biological processes spans molecular, cellular, and systemic levels, requiring advanced computational models to unravel the intricate mechanisms underlying these phenomena. This research explores development application gain mechanistic insights into diverse systems. By integrating multi-scale data from genomics, proteomics, cellular imaging, this study leverages machine learning algorithms, dynamical systems modeling, network analysis simulate analyze interactions. Key areas focus include understanding signaling pathways, differentiation, physiological responses. also highlights role tools in bridging experimental with theoretical predictions, providing a robust framework for hypothesis generation testing. Challenges such as heterogeneity, scalability, model interpretability are addressed, emphasizing need interdisciplinary approaches. aims advance field biology by offering novel complex fostering applications personalized medicine, drug development, synthetic biology.

Language: Английский

Mathematical Modelling of Cancer Treatments, Resistance, Optimization DOI Creative Commons
Tahmineh Azizi

AppliedMath, Journal Year: 2025, Volume and Issue: 5(2), P. 40 - 40

Published: April 4, 2025

Mathematical modeling plays a crucial role in the advancement of cancer treatments, offering sophisticated framework for analyzing and optimizing therapeutic strategies. This approach employs mathematical computational techniques to simulate diverse aspects therapy, including effectiveness various treatment modalities such as chemotherapy, radiation targeted immunotherapy. By incorporating factors drug pharmacokinetics, tumor biology, patient-specific characteristics, these models facilitate predictions responses outcomes. Furthermore, elucidate mechanisms behind resistance, genetic mutations microenvironmental changes, thereby guiding researchers designing strategies mitigate or overcome resistance. The application optimization allows development personalized regimens that maximize efficacy while minimizing adverse effects, taking into account patient-related variables size profiles. study elaborates on key applications oncology, encompassing simulation modalities, elucidation resistance mechanisms, regimens. integrating insights with experimental data clinical observations, emerges powerful tool contributing more effective therapies improve patient

Language: Английский

Citations

0
Stochastic stability and global dynamics of a mathematical model for drug use: Statistical sensitivity analysis via PRCC DOI Creative Commons
Sara Soulaimani, Abdelilah Kaddar, Fathalla A. Rihan

et al.

Partial Differential Equations in Applied Mathematics, Journal Year: 2024, Volume and Issue: unknown, P. 100964 - 100964

Published: Oct. 1, 2024

Language: Английский

Citations

2
Developing and Applying Computational Models to Uncover Mechanistic Insights into Complex Biological Processes Across Molecular, Cellular, and Systemic Levels DOI

Selin Özalp

Next frontier., Journal Year: 2024, Volume and Issue: 8(1), P. 173 - 173

Published: Nov. 25, 2024

The complexity of biological processes spans molecular, cellular, and systemic levels, requiring advanced computational models to unravel the intricate mechanisms underlying these phenomena. This research explores development application gain mechanistic insights into diverse systems. By integrating multi-scale data from genomics, proteomics, cellular imaging, this study leverages machine learning algorithms, dynamical systems modeling, network analysis simulate analyze interactions. Key areas focus include understanding signaling pathways, differentiation, physiological responses. also highlights role tools in bridging experimental with theoretical predictions, providing a robust framework for hypothesis generation testing. Challenges such as heterogeneity, scalability, model interpretability are addressed, emphasizing need interdisciplinary approaches. aims advance field biology by offering novel complex fostering applications personalized medicine, drug development, synthetic biology.

Language: Английский

Citations

0