Works (3)
Updated: July 5th, 2023 14:48
2021 journal article
A physiological model of the inflammatory-thermal-pain-cardiovascular interactions during an endotoxin challenge
JOURNAL OF PHYSIOLOGY-LONDON, 599(5), 1459–1485.
author keywords: cardiovascular dynamics; immune response; mathematical modelling; parameter estimation; thermal regulation
MeSH headings : Endotoxins / toxicity; Humans; Inflammation; Inflammation Mediators; Male; Pain; Sepsis
topics (OpenAlex): Heart Rate Variability and Autonomic Control; Sepsis Diagnosis and Treatment; Immune Response and Inflammation
TL;DR:
An innovative mathematical model incorporating interaction pathways between inflammation and physiological processes observed in response to an endotoxin challenge is developed and revealed that a multimodal treatment combining several therapeutic strategies gives the best recovery outcome.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: March 8, 2021
2021 journal article
Data assimilation of synthetic data as a novel strategy for predicting disease progression in alopecia areata
MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA, 38(3), 314–332.
author keywords: personalized medicine; data assimilation; autoimmunity; alopecia areata
MeSH headings : Alopecia Areata / epidemiology; Autoimmune Diseases; Bayes Theorem; Disease Progression; Humans
topics (OpenAlex): Hair Growth and Disorders
TL;DR:
This study applies a Bayesian data assimilation method to a model of the autoimmune disease alopecia areata that is characterized by distinct spatial patterns of hair loss, and finds that this method works better for sparse observations, sensitive parameters and noisy observations.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: September 20, 2021
2020 journal article
Toward Predicting the Spatio-Temporal Dynamics of Alopecia Areata Lesions Using Partial Differential Equation Analysis
BULLETIN OF MATHEMATICAL BIOLOGY, 82(3).
author keywords: Partial differential equations (PDEs); Alopecia areata; Autoimmunity; Hair loss
MeSH headings : Alopecia Areata / etiology; Alopecia Areata / immunology; Alopecia Areata / pathology; Animals; Autoimmune Diseases / etiology; Autoimmune Diseases / immunology; Autoimmune Diseases / pathology; Computer Simulation; Cytokines / immunology; Disease Models, Animal; Hair Follicle / immunology; Hair Follicle / pathology; Humans; Interferon-gamma / immunology; Linear Models; Mathematical Concepts; Mice; Models, Biological; Spatio-Temporal Analysis; T-Lymphocytes / immunology
topics (OpenAlex): Hair Growth and Disorders; Dermatology and Skin Diseases; melanin and skin pigmentation
TL;DR:
A model of partial differential equations (PDEs) is developed to describe the spatio-temporal dynamics of immune system components that clinical and experimental studies show are primarily involved in the disease development of alopecia areata.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: Web Of Science
Added: March 30, 2020