ReviewFrontiers in aging2023
Towards AI-driven longevity research: An overview.
Review in Frontiers in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- From aging biology to cardiac biotechnology: emerging platforms for modeling cardiac aging.JCI insight · 2026Review
- Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation.Journal of medical Internet research · 2026Article
- A comprehensive review of artificial intelligence as a catalyst in aging research: insights, gaps and future perspectives.Frontiers in aging · 2026Review
- Translating Geroscience Into Clinical Longevity Dermatology: From Mechanisms of Aging to Skin-Centered Interventions.Journal of cosmetic dermatology · 2026Article
- Biomarkers of aging: from molecules and surrogates to physiology and function.Physiological reviews · 2025Review
- Deep learning and generative artificial intelligence in aging research and healthy longevity medicine.Aging · 2025Review
- Review
- Review
- The association between blood biological age at rehabilitation admission and physical activity during rehabilitation in geriatric inpatients: RESORT.GeroScience · 2024Observational
- A Pragmatic Approach to Introducing Translational Geroscience Into the Clinic: A Paradigm Based on the Incremental Progression of Aging-Related Clinical Research.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Review
- A Framework for an Effective Healthy Longevity Clinic.Aging and disease · 2024Review
- The Longevity Med Summit: insights on healthspan from cell to society.Frontiers in aging · 2024Review
- How is Big Data reshaping preclinical aging research?Lab animal · 2023Review
- Dynamics of redox signaling in aging via autophagy, inflammation, and senescence.Biogerontology · 2023Review
- Biomedical generative pre-trained based transformer language model for age-related disease target discovery.Aging · 2023Article
- Article
- The leading global health challenges in the artificial intelligence era.Frontiers in public health · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While in the past technology has mostly been utilized to store information about the structural configuration of proteins and molecules for research and medical purposes, Artificial Intelligence is nowadays able to learn from the existing data how to predict and model properties and interactions, revealing important knowledge about complex biological processes, such as aging. Modern technologies, moreover, can rely on a broader set of information, including those derived from the next-generation sequencing (e.g., proteomics, lipidomics, and other omics), to understand the interactions between human body and the external environment. This is especially relevant as external factors have been shown to have a key role in aging. As the field of computational systems biology keeps improving and new biomarkers of aging are being developed, artificial intelligence promises to become a major ally of aging research.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.