Machine learning applications for novel biomarker & target discovery.

Aging

The "geroscience hypothesis" postulates that aging itself is a common underlying risk factor for susceptibility to various aging-related chronic diseases [1]. Life expectancy for the US population in 2022 was found to be 77.5 years, a 1.1-year increase from 2021, and the top causes of death were attributed to common aging-related chronic diseases, including heart disease, cancer, Alzheimer's, diabetes, and liver and kidney diseases, among others [2]. A recent study also estimated that a populational increase in life expectancy by a year is associated with $38 trillion in healthcare costs [3]. Delaying the aging process and promoting healthy aging is expected to reduce the incidence or severity of chronic diseases widely.

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[1] Sierra F, Kohanski R. Geroscience and the trans-NIH Geroscience Interest Group, GSIG. Geroscience. 2017 Feb;39(1):1-5. doi: 10.1007/s11357-016-9954-6. PMID: 28299635; PMCID: PMC5352582.

[2] Xu J, Murphy SL, Kochanek KD, Arias E. Mortality in the United States, 2021. NCHS Data Brief. 2022 Dec;(456):1-8. PMID: 36598387.

[3] Scott AJ, Ellison M, Sinclair DA. The economic value of targeting aging. Nat Aging. 2021 Jul;1(7):616-623. doi: 10.1038/s43587-021-00080-0. Epub 2021 Jul 5. PMID: 37117804; PMCID: PMC10154220.

Comparison of current and trending approaches to targeting aging to prevent multiple aging-related diseases, showing a progression from childhood to old age, with the current approach requiring multiple therapies for different diseases, and the trending approach aiming to target aging to prevent all diseases simultaneously.
Access our Aging Journal's March 15, 2024 feature cover article
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