Diabetes mellitus and glymphatic dysfunction: Roles for oxidative stress, mitochondria, circadian rhythm, artificial intelligence, and imaging DOI Open Access
Kenneth Maiese

World Journal of Diabetes, Год журнала: 2024, Номер 16(1)

Опубликована: Ноя. 29, 2024

Diabetes mellitus (DM) is a debilitating disorder that impacts all systems of the body and has been increasing in prevalence throughout globe. DM represents significant clinical challenge to care for individuals prevent onset chronic disability ultimately death. Underlying cellular mechanisms development are multi-factorial origin involve pathways associated with production reactive oxygen species generation oxidative stress as well dysfunction mitochondrial organelles, programmed cell death, circadian rhythm impairments. These can failure glymphatic pathway brain linked rhythms disorders during loss metabolic homeostasis. New studies incorporate number promising techniques examine patients include machine learning artificial intelligence potentially predict dysfunction.

Язык: Английский

Biological gases, oxidative stress, artificial intelligence, and machine learning for neurodegeneration and metabolic disorders DOI
Kenneth Maiese

Medical Gas Research, Год журнала: 2024, Номер 15(1), С. 145 - 147

Опубликована: Окт. 2, 2024

Язык: Английский

Процитировано

2

Diabetes mellitus and glymphatic dysfunction: Roles for oxidative stress, mitochondria, circadian rhythm, artificial intelligence, and imaging DOI Open Access
Kenneth Maiese

World Journal of Diabetes, Год журнала: 2024, Номер 16(1)

Опубликована: Ноя. 29, 2024

Diabetes mellitus (DM) is a debilitating disorder that impacts all systems of the body and has been increasing in prevalence throughout globe. DM represents significant clinical challenge to care for individuals prevent onset chronic disability ultimately death. Underlying cellular mechanisms development are multi-factorial origin involve pathways associated with production reactive oxygen species generation oxidative stress as well dysfunction mitochondrial organelles, programmed cell death, circadian rhythm impairments. These can failure glymphatic pathway brain linked rhythms disorders during loss metabolic homeostasis. New studies incorporate number promising techniques examine patients include machine learning artificial intelligence potentially predict dysfunction.

Язык: Английский

Процитировано

1