AI Medical Compendium Journal:
Endocrine, metabolic & immune disorders drug targets

Showing 1 to 3 of 3 articles

The Application of Artificial Intelligence in Thyroid Nodules: A Systematic Review Based on Bibliometric Analysis.

Endocrine, metabolic & immune disorders drug targets Jan 1, 2024
BACKGROUND: Thyroid nodules are common lesions in benign and malignant thyroid diseases. More and more studies have been conducted on the feasibility of artificial intelligence (AI) in the detection, diagnosis, and evaluation of thyroid nodules. The ...
Humans Artificial Intelligence Deep Learning Thyroid Neoplasms Thyroid Nodule Bibliometrics
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Identification of Diagnosis and Typological Characteristics Associated with Ferroptosis for Ulcerative Colitis Bioinformatics and Machine Learning.

Endocrine, metabolic & immune disorders drug targets Jan 1, 2024
OBJECTIVE: To investigate and validate ferroptosis genes (FRGs) in ulcerative colitis (UC) for diagnostic, subtype, and biological agent reactivity, with the goal of providing a foundation for the identification of novel therapeutic targets and the r...
Humans Machine Learning Gene Expression Profiling Gene Regulatory Networks Computational Biology Nomograms Databases, Genetic Ferroptosis Colitis, Ulcerative Infliximab
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Evaluation of Image Classification for Quantifying Mitochondrial Morphology Using Deep Learning.

Endocrine, metabolic & immune disorders drug targets Jan 1, 2023
BACKGROUND: Mitochondrial morphology reversibly changes between fission and fusion. As these changes (mitochondrial dynamics) reflect the cellular condition, they are one of the simplest indicators of cell state and predictors of cell fate. However, ...
Deep Learning Cell Line Mitochondria
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