[HTML][HTML] Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability

F Galkin, K Kochetov, M Keller, A Zhavoronkov… - Aging (Albany …, 2022 - ncbi.nlm.nih.gov
In this article, we present a deep learning model of human psychology that can predict one's
current age and future well-being. We used the model to demonstrate that one's baseline …

[HTML][HTML] Defining functional requirements for a patient-centric computerized glaucoma treatment and care ecosystem

N Goldmann, SE Skalicky, RN Weinreb… - Journal of Medical …, 2023 - jmai.amegroups.org
Background: Glaucoma is a group of chronic diseases that cause progressive damage to the
optic nerve, resulting in irreversible and potentially debilitating visual loss. A unified …

The potential for complex computational models of aging

S Farrell, G Stubbings, K Rockwood, A Mitnitski… - Mechanisms of Ageing …, 2021 - Elsevier
The gradual accumulation of damage and dysregulation during the aging of living
organisms can be quantified. Even so, the aging process is complex and has multiple …

Artificial intelligence confirming treatment success: the role of gender-and age-specific scales in performance evaluation

A Georgievskaya - Plastic and Reconstructive Surgery, 2022 - journals.lww.com
In plastic surgery and cosmetic dermatology, photographic data are an invaluable element
of research and clinical practice. Additionally, the use of before and after images is a …

[HTML][HTML] Predictive models of aging of the human eye based on ocular anterior segment morphology

J Ma, X Xu, M Li, Y Zhang, L Zhang, P Ma, J Hou… - Journal of Biomedical …, 2021 - Elsevier
Aging is a major risk factor for various eye diseases, such as cataract, glaucoma, and age-
related macular degeneration. Age-related changes are observed in almost all structures of …

Research on deep learning-based cross-disciplinary applications

Z Li, L Meng - 2022 International Conference on Advanced …, 2022 - ieeexplore.ieee.org
Currently, with the development of artificial intelligence, deep learning is widely applied in
several disciplines. This paper presents several cross-disciplinary studies on deep learning …

[HTML][HTML] Machine learning for risk group identification and user data collection in a herpes simplex virus patient registry: algorithm development and validation study

S Surodina, C Lam, S Grbich, M Milne-Ives… - JMIRx Med, 2021 - xmed.jmir.org
Background Researching people with herpes simplex virus (HSV) is challenging because of
poor data quality, low user engagement, and concerns around stigma and anonymity …

[HTML][HTML] Higher blood biochemistry-based biological age developed by advanced deep learning techniques is associated with frailty in geriatric rehabilitation …

L Guan, CSL Tuttle, F Galkin, A Zhavoronkov… - Experimental …, 2024 - Elsevier
Background Accelerated biological ageing is a major underlying mechanism of frailty
development. This study aimed to investigate if the biological age measured by a blood …

Leveraging AI to identify dual-purpose aging and disease targets

GHD Leung, CW Wong, FW Pun, A Aliper… - Expert Opinion on …, 2023 - Taylor & Francis
Aging is a significant contributor to various chronic diseases, thus emerging as an
increasingly important area of research. Elucidating the mechanisms underlying aging can …

A metabolomic signature of decelerated physiological aging in human plasma

GE Janssens, L Grevendonk, BV Schomakers… - GeroScience, 2023 - Springer
The degenerative processes that occur during aging increase the risk of disease and
impaired health. Meanwhile, interventions that target aging to promote healthy longevity are …