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Authors
Kalka, Iris N.
Hazzan, Rawi
Yacovzada, Nancy-Sarah
Igbaria, Saleh
Segal, Eran
Weinberger, Adina
Neeman, Ziv
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Clinical Trials BETA
Clinical trials referenced in this document:
nct05218538 at ClinicalTrials.govDocuments that mention this clinical trial
Fibro predict a machine learning risk score for advanced liver fibrosis in the general population using Israeli electronic health records
https://doi.org/10.1038/s41598-025-17534-9
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Article History
Received: 7 November 2024
Accepted: 25 August 2025
First Online: 1 September 2025
Declarations
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: The authors declare no competing interests.
: By submitting a paper to a Springer journal, authors attest that they have no conflict of interest that could compromise the integrity of their research. They confirm that their work is original, has not been published previously, and does not infringe on the rights of others.The electronic study protocol was approved by the Clalit Helsinki committee 0195-17-COM2. This study is based on retrospective data; therefore, it was exempt from the requirement for patients’ written informed consent. The complete study protocol was approved by the Emek Medical Center Helsinki Committee (0208-20-EMC). Written informed consent for procedures was obtained from each participant in the clinical trial. There was no patient or public involvement in the design, conduct, analysis, or reporting of this study.
