What this means
This commentary highlights the age illusion and advocates integrating biological age and artificial intelligence (AI) to enhance clinical precision in health care. By synthesizing geroscience and machine learning, practitioners and scientists can effectively bridge the gap between experimental biomarkers and personalized medicine and longevity care.
A plain-English summary is on its way. Until then, this is the start of the authors' own summary.
- Who it was tested in
- Not stated
- Kind of research
- A study
The science
- Original title
- The use of biological age and artificial intelligence in health care.
- Authors
- Kordowitzki P
- Journal
- npj aging
- Published
- Oct 27, 2026
- Study type
- Study
- PMID
- 42934311 ↗
Abstract
This commentary highlights the age illusion and advocates integrating biological age and artificial intelligence (AI) to enhance clinical precision in health care. By synthesizing geroscience and machine learning, practitioners and scientists can effectively bridge the gap between experimental biomarkers and personalized medicine and longevity care. This contribution is timely as the importance of biological age and predictive analytics offer transformative potential for diagnostics while necessitating a focus on modern medical systems. This article aims to elucidate how AI accelerates the clinical implementation of biological age rather than current chronological age in precision medicine.
Kordowitzki P The use of biological age and artificial intelligence in health care. npj aging. 2026. doi:10.1038/s41514-026-00524-0. PMID: 42934311. https://pubmed.ncbi.nlm.nih.gov/42934311/