The role of inflammation and genetics in periodontal disease
BG Loos, TE Van Dyke - Periodontology 2000, 2020 - Wiley Online Library
Periodontitis is a complex disease:(a) various causative factors play a role simultaneously
and interact with each other; and (b) the disease is episodic in nature, and bursts of disease …
and interact with each other; and (b) the disease is episodic in nature, and bursts of disease …
[HTML][HTML] Network resilience
Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tipping point”. Some examples are mass extinctions …
undesired state when forced across a “tipping point”. Some examples are mass extinctions …
Quantifying resilience of humans and other animals
M Scheffer, JE Bolhuis, D Borsboom… - Proceedings of the …, 2018 - National Acad Sciences
All life requires the capacity to recover from challenges that are as inevitable as they are
unpredictable. Understanding this resilience is essential for managing the health of humans …
unpredictable. Understanding this resilience is essential for managing the health of humans …
Cell fate decision as high-dimensional critical state transition
Cell fate choice and commitment of multipotent progenitor cells to a differentiated lineage
requires broad changes of their gene expression profile. But how progenitor cells overcome …
requires broad changes of their gene expression profile. But how progenitor cells overcome …
[HTML][HTML] The P4 health spectrum–a predictive, preventive, personalized and participatory continuum for promoting healthspan
Chronic diseases (ie, noncommunicable diseases), mainly cardiovascular disease, cancer,
respiratory diseases and type-2-diabetes, are now the leading cause of death, disability and …
respiratory diseases and type-2-diabetes, are now the leading cause of death, disability and …
[HTML][HTML] Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate, regime transitions, and the effect of …
We develop and test machine learning techniques for successfully using past state time
series data and knowledge of a time-dependent system parameter to predict the evolution of …
series data and knowledge of a time-dependent system parameter to predict the evolution of …
Rate-induced tipping in complex high-dimensional ecological networks
In an ecosystem, environmental changes as a result of natural and human processes can
cause some key parameters of the system to change with time. Depending on how fast such …
cause some key parameters of the system to change with time. Depending on how fast such …
Slowing down of recovery as generic risk marker for acute severity transitions in chronic diseases
MGMO Rikkert, V Dakos, TG Buchman… - Critical care …, 2016 - journals.lww.com
Objective: We propose a novel paradigm to predict acute attacks and exacerbations in
chronic episodic disorders such as asthma, cardiac arrhythmias, migraine, epilepsy, and …
chronic episodic disorders such as asthma, cardiac arrhythmias, migraine, epilepsy, and …
Monitoring resilience in bursts
The possibility to anticipate critical transitions through detecting loss of resilience has
attracted attention in many fields. Resilience indicators rely on the mathematical concept of …
attracted attention in many fields. Resilience indicators rely on the mathematical concept of …
Dynamical resilience indicators in time series of self-rated health correspond to frailty levels in older adults
SMW Gijzel, IA van de Leemput… - … Series A: Biomedical …, 2017 - academic.oup.com
Background: We currently still lack valid methods to dynamically measure resilience for
stressors before the appearance of adverse health outcomes that hamper well-being …
stressors before the appearance of adverse health outcomes that hamper well-being …