Circulating miRNAs and Machine Learning for Lateralizing Primary Aldosteronism
Machine learning analysis of circulating miRNAs offers a minimally invasive alternative for primary aldosteronism lateralization. Early identification of bilateral adrenal hyperplasia could expedite treatment initiation without the need for further localization, benefiting both patients and health care providers.
Authors
- Mirko Parasiliti‐Caprino (ORCID: https://orcid.org/0000-0002-6930-7073)
- Felix Beuschlein (ORCID: https://orcid.org/0000-0001-7826-3984)
- Attila Doros (ORCID: https://orcid.org/0000-0002-6496-9895)
- János Tibor Fekete (ORCID: https://orcid.org/0000-0002-6672-6563)
- Siti Khadijah Syed Mohammed Nazri (ORCID: https://orcid.org/0000-0001-5643-1609)
- Magdolna Dank (ORCID: https://orcid.org/0000-0002-4694-3624)
- Filippo Ceccato (ORCID: https://orcid.org/0000-0003-1456-8716)
- Irina Bancos (ORCID: https://orcid.org/0000-0001-9332-2524)
- Vanessa Fell (ORCID: https://orcid.org/0000-0003-4583-8694)
- Nikolette Szücs (ORCID: https://orcid.org/0000-0002-6614-1311)
- Bálint Vékony (ORCID: https://orcid.org/0000-0002-6814-7311)
- Lydia Kürzinger
- Zoltán Herold (ORCID: https://orcid.org/0000-0001-5990-4889)
- Péter Igaz (ORCID: https://orcid.org/0000-0003-2192-554X)
- Mohamed Bassiony (ORCID: https://orcid.org/0000-0003-2341-8963)
- Fabio Bioletto (ORCID: https://orcid.org/0000-0001-7550-7023)
- Sven Gruber (ORCID: https://orcid.org/0000-0003-0601-4334)
- Gábor Nyírő (ORCID: https://orcid.org/0000-0002-0248-0007)
- Elena A B Aisha Azizan (ORCID: https://orcid.org/0000-0002-5549-4242)
- Balint Szeredas (ORCID: https://orcid.org/0009-0005-4154-1107)
Institutions
- Semmelweis University (HU)
- Mayo Clinic (US)
- University of Padua (IT)
- University of Würzburg (DE)
- LMU Klinikum (DE)
- University Hospital of Zurich (CH)
- Department of Medical Sciences (RU)
- Center for Pediatric Endocrinology Zurich (CH)
- Mayo Clinic in Arizona (US)
- Department of Medical Sciences (BY)
- Mayo Clinic in Florida (US)
- National Defence University of Malaysia (MY)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Hypertension
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1161/hypertensionaha.124.23418
- Citations
- 12
- Primary Topic
- Hormonal Regulation and Hypertension
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- Semmelweis Egyetem