Mathematical modeling of cancer immunotherapy for personalized clinical translation
Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of developing personalized treatment strategies based on individual patient …
the key areas of developing personalized treatment strategies based on individual patient …
Agent‐based modeling of the immune system: NetLogo, a promising framework
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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Introduction: Breast cancer, as one of the major causes of cancer death among women, is …
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 …
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 …
comprehension and the related modeling of the different mechanisms that trigger fibrosis are …