Editorial: Machine learning-assisted diagnosis and treatment of endocrine-related diseases.

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Bibliographic Details
Title: Editorial: Machine learning-assisted diagnosis and treatment of endocrine-related diseases.
Authors: Zhang H; Department of Laboratory, Shandong Daizhuang Hospital, Jining, China., Kahlert UD; Molecular and Experimental Surgery, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Medical Faculty University Hospital Magdeburg, Otto-von Guericke University, Magdeburg, Germany., Shi W; Molecular and Experimental Surgery, University Clinic for General-, Visceral-, Vascular- and Trans-Plantation Surgery, Medical Faculty University Hospital Magdeburg, Otto-von Guericke University, Magdeburg, Germany.
Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2023 Dec 18; Vol. 14, pp. 1305897. Date of Electronic Publication: 2023 Dec 18 (Print Publication: 2023).
Publication Type: Editorial
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1664-2392
DOI:10.3389/fendo.2023.1305897