Analyzing determinants of biological age through systematic review of prediction models

Authors

Lucija Gosak (ORCID: https://orcid.org/0000-0002-8742-6594)
Gregor Štiglic (ORCID: https://orcid.org/0000-0002-0183-8679)
Jiang Bian (ORCID: https://orcid.org/0000-0002-2238-5429)
Mattia Prosperi (ORCID: https://orcid.org/0000-0002-9021-5595)
Xing He (ORCID: https://orcid.org/0000-0003-0290-8058)
Adrijana Svenšek (ORCID: https://orcid.org/0000-0003-0323-1720)
Leon Bedrač (ORCID: https://orcid.org/0009-0005-5325-7322)

Institutions

The University of Sydney (AU)
University of Florida Health (US)
University of Maribor (SI)
Indiana University – Purdue University Indianapolis (US)
University of Florida Health Science Center (US)
Florida College (US)
University of Edinburgh (GB)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2026-10-15
DOI: https://doi.org/10.1186/s12911-026-03902-6
Primary Topic: Frailty in Older Adults
Type: article
Field-Weighted Citation Impact: 0.00

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article

Analyzing determinants of biological age through systematic review of prediction models

Lucija Gosak, Gregor Štiglic, Jiang Bian, Mattia Prosperi et al.

Oct 15, 2026

BMC Medical Informatics and Decision Making

Frailty in Older Adults

article

Analyzing determinants of biological age through systematic review of prediction models

Lucija Gosak, Gregor Štiglic, Jiang Bian, Mattia Prosperi, Xing He, Adrijana Svenšek, Leon Bedrač

October 15, 2026article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision Making

The University of Sydney (AU), University of Florida Health (US), University of Maribor (SI), Indiana University – Purdue University Indianapolis (US), University of Florida Health Science Center (US), Florida College (US), University of Edinburgh (GB)

Good health and well-being

Openalex Percentile: Top 29%

Frailty in Older Adults

DOI Open Access PDF OpenAlex

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