AI Medical Compendium Journal:
Mechanisms of ageing and development

Showing 1 to 6 of 6 articles

Development and validation of cardiometabolic risk predictive models based on LDL oxidation and candidate geromarkers from the MARK-AGE data.

Mechanisms of ageing and development
The predictive value of the susceptibility to oxidation of LDL particles (LDLox) in cardiometabolic risk assessment is incompletely understood. The main objective of the current study was to assess its relationship with other relevant biomarkers and ...

The use of geroprotectors to prevent multimorbidity: Opportunities and challenges.

Mechanisms of ageing and development
Over 60 % of people over the age of 65 will suffer from multiple diseases concomitantly but the common approach is to treat each disease separately. As age-associated diseases have common underlying mechanisms there is potential to tackle many diseas...

Untangling the complexity of multimorbidity with machine learning.

Mechanisms of ageing and development
The prevalence of multimorbidity has been increasing in recent years, posing a major burden for health care delivery and service. Understanding its determinants and impact is proving to be a challenge yet it offers new opportunities for research to g...

The NAD-mitophagy axis in healthy longevity and in artificial intelligence-based clinical applications.

Mechanisms of ageing and development
Nicotinamide adenine dinucleotide (NAD) is an important natural molecule involved in fundamental biological processes, including the TCA cycle, OXPHOS, β-oxidation, and is a co-factor for proteins promoting healthy longevity. NAD depletion is associa...

Prognostic networks for unraveling the biological mechanisms of Sarcopenia.

Mechanisms of ageing and development
Sarcopenia is an age-related multifactorial process that involved several biological mechanisms, whose specific contribution and interplay is still unknown. The present study proposes prognostic networks based on machine learning approaches to unrave...