Mathematical modeling of cancer immunotherapy for personalized clinical translation

JD Butner, P Dogra, C Chung, R Pasqualini… - Nature computational …, 2022 - nature.com
Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of developing personalized treatment strategies based on individual patient …

Agent‐based modeling of the immune system: NetLogo, a promising framework

F Chiacchio, M Pennisi, G Russo… - BioMed research …, 2014 - Wiley Online Library
Several components that interact with each other to evolve a complex, and, in some cases,
unexpected behavior, represents one of the main and fascinating features of the mammalian …

A decade of thermostatted kinetic theory models for complex active matter living systems

C Bianca - Physics of Life Reviews, 2024 - Elsevier
In the last decade, the thermostatted kinetic theory has been proposed as a general
paradigm for the modeling of complex systems of the active matter and, in particular, in …

Prediction of clinical deterioration in hospitalized adult patients with hematologic malignancies using a neural network model

SB Hu, DJL Wong, A Correa, N Li, JC Deng - PloS one, 2016 - journals.plos.org
Introduction Clinical deterioration (ICU transfer and cardiac arrest) occurs during
approximately 5–10% of hospital admissions. Existing prediction models have a high false …

Computational modeling of PI3K/AKT and MAPK signaling pathways in melanoma cancer

F Pappalardo, G Russo, S Candido, M Pennisi… - PLoS …, 2016 - journals.plos.org
Background Malignant melanoma is an aggressive tumor of the skin and seems to be
resistant to current therapeutic approaches. Melanocytic transformation is thought to occur …

Mathematical modelling and analysis of the tumor treatment regimens with pulsed immunotherapy and chemotherapy

L Pang, L Shen, Z Zhao - Computational and Mathematical …, 2016 - Wiley Online Library
To begin with, in this paper, single immunotherapy, single chemotherapy, and mixed
treatment are discussed, and sufficient conditions under which tumor cells will be eliminated …

Persistence analysis in a Kolmogorov-type model for cancer-immune system competition

C Bianca, F Pappalardo, M Pennisi… - AIP Conference …, 2013 - pubs.aip.org
This paper is concerned with analytical investigations on the competition between cancer
cells and immune system cells. Specifically the role of the B-cells and T-cells in the evolution …

[HTML][HTML] Breast cancer vaccination comes to age: impacts of bioinformatics

S Parvizpour, J Razmara, Y Omidi - BioImpacts: BI, 2018 - ncbi.nlm.nih.gov
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Introduction: Breast cancer, as one of the major causes of cancer death among women, is …

Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine

J Liu, W Dan, X Liu, X Zhong, C Chen, Q He… - … information science and …, 2023 - Springer
Backgrounds Dyslipidemia is a prominent risk factor for cardiovascular diseases and one of
the primary independent modifiable factors of diabetes and stroke. Statins can significantly …

Towards a unified approach in the modeling of fibrosis: A review with research perspectives

MB Amar, C Bianca - Physics of life reviews, 2016 - Elsevier
Pathological fibrosis is the result of a failure in the wound healing process. The
comprehension and the related modeling of the different mechanisms that trigger fibrosis are …