Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences
Machine learning (ML) methodology used in the social and health sciences needs to fit the
intended research purposes of description, prediction, or causal inference. This paper …
intended research purposes of description, prediction, or causal inference. This paper …
Biological mechanisms of aging predict age‐related disease co‐occurrence in patients
HC Fraser, V Kuan, R Johnen, M Zwierzyna… - Aging …, 2022 - Wiley Online Library
Genetic, environmental, and pharmacological interventions into the aging process can
confer resistance to multiple age‐related diseases in laboratory animals, including rhesus …
confer resistance to multiple age‐related diseases in laboratory animals, including rhesus …
Real-world data mining meets clinical practice: Research challenges and perspective
As Big Data Analysis meets healthcare applications, domain-specific challenges and
opportunities materialize in all aspects of data science. Advanced statistical methods and …
opportunities materialize in all aspects of data science. Advanced statistical methods and …
An Alzheimer's disease category progression sub-grouping analysis using manifold learning on ADNI
Many current statistical and machine learning methods have been used to explore
Alzheimer's disease (AD) and its associated patterns that contribute to the disease …
Alzheimer's disease (AD) and its associated patterns that contribute to the disease …
Ethnic differences in early onset multimorbidity and associations with health service use, long-term prescribing, years of life lost, and mortality: A cross-sectional study …
Background The population prevalence of multimorbidity (the existence of at least 2 or more
long-term conditions [LTCs] in an individual) is increasing among young adults, particularly …
long-term conditions [LTCs] in an individual) is increasing among young adults, particularly …
Obesity and risk of diseases associated with hallmarks of cellular ageing: a multicohort study
Background Ageing hallmarks, characterising features of cellular ageing, have a role in the
pathophysiology of many age-related diseases. We examined whether obesity is associated …
pathophysiology of many age-related diseases. We examined whether obesity is associated …
Healthspan and chronic disease burden among young adult and middle-aged male former American-style professional football players
R Grashow, TV Shaffer-Pancyzk, I Dairi… - British Journal of …, 2023 - bjsm.bmj.com
Objective To examine the relationships between age, healthspan and chronic illness among
former professional American-style football (ASF) players. Methods We compared age …
former professional American-style football (ASF) players. Methods We compared age …
Intermittent rapamycin feeding recapitulates some effects of continuous treatment while maintaining lifespan extension
Objective Rapamycin, a powerful geroprotective drug, can have detrimental effects when
administered chronically. We determined whether intermittent treatment of mice can reduce …
administered chronically. We determined whether intermittent treatment of mice can reduce …
What is an aging-related disease? An epidemiological perspective
DG Le Couteur, J Thillainadesan - The Journals of Gerontology …, 2022 - academic.oup.com
There are no established or standardized definitions of aging-related disease. Data from the
Global Burden of Diseases, Injuries, and Risk Factors Study 2019 were used to model the …
Global Burden of Diseases, Injuries, and Risk Factors Study 2019 were used to model the …
Association between epigenetic age and type 2 diabetes mellitus or glycemic traits: A longitudinal twin study
K Miao, X Hong, W Cao, J Lv, C Yu, T Huang… - Aging …, 2024 - Wiley Online Library
Epigenetic clocks based on DNA methylation have been known as biomarkers of aging,
including principal component (PC) clocks representing the degree of aging and …
including principal component (PC) clocks representing the degree of aging and …