AIMC Topic: Thyroxine

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Machine learning model for differentiating malignant from benign thyroid nodules based on the thyroid function data.

BMJ open May 7, 2025
OBJECTIVES: To develop and validate a machine learning (ML) model to differentiate malignant from benign thyroid nodules (TNs) based on the routine data and provide diagnostic assistance for medical professionals.
Aged Adult Male Middle Aged Humans Machine Learning Female Thyroid Function Tests Autoantibodies Thyroid Gland Thyroxine Thyroid Neoplasms Triiodothyronine Thyroid Nodule Diagnosis, Differential
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Developing a machine learning-based predictive model for levothyroxine dosage estimation in hypothyroid patients: a retrospective study.

Frontiers in endocrinology Mar 14, 2025
Hypothyroidism, a common endocrine disorder, has a high incidence in women and increases with age. Levothyroxine (LT4) is the standard therapy; however, achieving clinical and biochemical euthyroidism is challenging. Therefore, developing an accurate...
Thyroxine Machine Learning Adult Humans Male Retrospective Studies Middle Aged Female Hypothyroidism Aged
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Binding and sensing diverse small molecules using shape-complementary pseudocycles.

Science (New York, N.Y.) Jul 18, 2024
We describe an approach for designing high-affinity small molecule-binding proteins poised for downstream sensing. We use deep learning-generated pseudocycles with repeating structural units surrounding central binding pockets with widely varying sha...
Deep Learning Protein Binding Proteins Thyroxine Molecular Docking Simulation Small Molecule Libraries Protein Multimerization Nanopores Methotrexate Ligands Binding Sites
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Model-Informed Precision Dosing Using Machine Learning for Levothyroxine in General Practice: Development, Validation and Clinical Simulation Trial.

Clinical pharmacology and therapeutics May 6, 2024
Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to high-interindividual differences in effective dosage and the narrow therapeutic window. Model-informed precision dosing (MIPD) using machine learning...
Middle Aged Primary Health Care Dose-Response Relationship, Drug Hypothyroidism Female Aged Adult Male Thyroxine Models, Biological General Practice Humans Machine Learning Computer Simulation Precision Medicine
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Pediatric Psoriasis Associated with Van Wyk Grumbach Syndrome: A case report.

La Tunisie medicale Oct 5, 2023
INTRODUCTION: Psoriasis is a common chronic inflammatory condition, often beginning in childhood in approximately one-third of cases. It can be associated with various other autoimmune diseases such as rheumatoid arthritis, celiac disease, and thyroi...
Child Ovarian Cysts Humans Hypothyroidism Thyroxine Female Syndrome Adolescent
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Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism.

Clinical biochemistry Mar 4, 2023
OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal and central congenital hypothyroidism (CH-T and CH-C, respectively) is primarily based on determination of thyroxine (T4) concentrations in dried bloo...
Gestational Age Congenital Hypothyroidism Glycoprotein Hormones, alpha Subunit Thyroxine-Binding Globulin Random Forest Thyroxine Neonatal Screening False Positive Reactions Machine Learning Algorithms Infant, Newborn Humans
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The Prevalence of Euthyroid Hypertriiodothyroninemia in Newly Diagnosed Multiple Myeloma and its Clinical Characteristics.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Dec 13, 2020
OBJECTIVE: To evaluate the prevalence of euthyroid hypertriiodothyroninemia and/or hyperthyroxinemia and its clinical characteristics in multiple myeloma (MM) patients.
Humans Prevalence Thyroxine Thyrotropin Multiple Myeloma Triiodothyronine
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Artificial intelligence may offer insight into factors determining individual TSH level.

PloS one May 20, 2020
The factors that determine Serum Thyrotropin (TSH) levels have been examined through different methods, using different covariates. However, the use of machine learning methods has so far not been studied in population databases like NHANES (National...
Male Body Mass Index Age Factors Thyrotropin Artificial Intelligence Thyroxine Humans Machine Learning Ethnicity Retrospective Studies Triiodothyronine Female
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Effects of growth hormone on thyroid function are mediated by type 2 iodothyronine deiodinase in humans.

Endocrine Dec 22, 2017
PURPOSE: Growth hormone (GH) therapy in adults alters thyroid function, and acromegaly often involves thyroid disease. The present study aimed to elucidate roles and mechanisms of GH in regulating thyroid function.
Iodothyronine Deiodinase Type II Male Middle Aged Thyroid Gland Human Growth Hormone Humans Retrospective Studies Female Young Adult Adult Hormone Replacement Therapy Cell Line Thyroxine Triiodothyronine Gene Expression Regulation Acromegaly Dwarfism, Pituitary Iodide Peroxidase
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The Interplay Between Epithelial-Mesenchymal Transition (EMT) and the Thyroid Hormones-αvβ3 Axis in Ovarian Cancer.

Hormones & cancer Dec 19, 2017
Ovarian cancer is a highly metastatic disease. The metastatic potential is enhanced by epithelial to mesenchymal transition (EMT) in which αvβ3 integrin plays a role. Thyroid hormones (L-thyroxine, T4, and 3,5,3'-triiodo-L-thyronine, T3) bind this in...
Zonula Occludens-1 Protein Epithelial-Mesenchymal Transition Thyroxine Cadherins Thyroid Hormones Vimentin Triiodothyronine beta Catenin Cell Line, Tumor Gene Expression Regulation, Neoplastic Signal Transduction Humans Ovarian Neoplasms Female Integrin alphaVbeta3 Snail Family Transcription Factors Zinc Finger E-box-Binding Homeobox 1
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