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Thyroid

Dental radiography and safety awareness: Insights from radiographers, dentists, and students in a cross-sectional study

Moawia Gameraddin, Alaa Abdulkhalq Alessa, [ ... ], Magbool Alelyani

Comparative genomic profiling of SLC26A4-expressing cells in the inner ear and other organs

Keiji Honda, Akimasa Kajino, Takeshi Tsutsumi

Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets

William Dee, Rana Alaaeldin Ibrahim, Eirini Marouli

The link between endocrine parameters, serum lithium concentrations, and cognitive functions among individuals with affective disorders at risk of suicidal behavior. A study protocol

Vilma Jakiene, Gil Zalsman, [ ... ], Vesta Steibliene

Metabolic syndrome patterns by gender in major depressive disorder

Lu Li, Ling Xiong, Zhihua Liu, Lin Zhang

The association of thyroid stimulating hormone and body fat in adults

Qin Sun, Yixuan He, Liang Yang

A novel meta learning based stacked approach for diagnosis of thyroid syndrome

Muhammad Asad Abbas, Kashif Munir, [ ... ], Zahid Ullah

Systematic review of thyroid function in NKX2-1-related disorders: Treatment and follow-up

Beatriz Carmona-Hidalgo, Estefanía Herrera-Ramos, [ ... ], NKX2-1 -Related Disorders Guideline Working Group

Evaluating diagnostic accuracy and agreement of TI-RADS scoring in thyroid nodules: A comparative analysis between sonographers and radiologists

Abdulrahman M. Alfuraih, Abdullah M. Alotaibi, [ ... ], Mohammed J. Alsaadi

Zinc and thyroid cancer: A systematic review and meta-analysis protocol

Aline Alves Soares, Yasmin Guerreiro Nagashima, [ ... ], José Brandão-Neto

A single-center retrospective study on the clinical features of thyrotoxic periodic paralysis

Kota Yamada, Akiyo Tanabe, [ ... ], Hiroshi Kajio

Systematic review of thyroid function in NKX2-1-related disorders: Screening and diagnosis

Beatriz Carmona-Hidalgo, Carmen Martín-Gómez, [ ... ], NKX2-1 -Related Disorders Guideline Working Group

Exploring the diagnostic performance of machine learning in prediction of metabolic phenotypes focusing on thyroid function

Hyeong Jun Ahn, Kyle Ishikawa, Min-Hee Kim

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