AI Medical Compendium Journal:
International journal of medical sciences

Showing 1 to 10 of 19 articles

Analysis of the Relationship Between and Cytokine Gene Expression in Hematological Malignancy: Leveraging Explained Artificial Intelligence and Machine Learning for Small Dataset Insights.

International journal of medical sciences Apr 13, 2025
This study measures expression of () and related cytokine genes in bone marrow mononuclear cells in patients with hematological malignancies, analyzing the relationship between them with an integrated framework of statistical analyses, machine learn...
Machine Learning Female Humans Cytokines Biomarkers, Tumor Artificial Intelligence NF-kappa B p50 Subunit Hematologic Neoplasms Male Gene Expression Regulation, Neoplastic Middle Aged Bayes Theorem Caspase 1
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Application and research progress of artificial intelligence in allergic diseases.

International journal of medical sciences Apr 9, 2025
Artificial intelligence (AI), as a new technology that can assist or even replace some human functions, can collect and analyse large amounts of textual, visual and auditory data through techniques such as Reinforcement Learning, Machine Learning, De...
Humans Artificial Intelligence Quality of Life Deep Learning Machine Learning Asthma Hypersensitivity
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Multi-omics and single-cell analysis reveals machine learning-based pyrimidine metabolism-related signature in the prognosis of patients with lung adenocarcinoma.

International journal of medical sciences Feb 18, 2025
Pyrimidine metabolism is a hallmark of tumor metabolic reprogramming, while its significance in the prognostic and therapeutic implications of patients with lung adenocarcinoma (LUAD) still remains unclear. In this study, an integrated framework of...
Drug Resistance, Neoplasm Pyrimidines Adenocarcinoma of Lung Biomarkers, Tumor Male Cell Line, Tumor Multiomics Gene Expression Regulation, Neoplastic Prognosis Single-Cell Analysis Female Lung Neoplasms Tumor Microenvironment Humans Machine Learning
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Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

International journal of medical sciences Feb 10, 2025
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiological and genetic similarities to humans The objective of this study was to identify genes involved in cataractogenesis due to galactose exposure in ...
Cataract Lens, Crystalline Gene Expression Regulation Rats Transcription Factors Disease Models, Animal Galactose Humans Machine Learning Animals Male Gene Expression Profiling
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Information Extraction from Clinical Texts with Generative Pre-trained Transformer Models.

International journal of medical sciences Feb 3, 2025
Processing and analyzing clinical texts are challenging due to its unstructured nature. This study compared the performance of GPT (Generative Pre-trained Transformer)-3.5 and GPT-4 for extracting information from clinical text. Three types of clin...
Data Mining Humans Algorithms Natural Language Processing
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Establishment of a nomogram model based on immune-related genes using machine learning for aortic dissection diagnosis and immunomodulation assessment.

International journal of medical sciences Jan 21, 2025
The clinical manifestation of aortic dissection (AD) is complex and varied, making early diagnosis crucial for patient survival. This study aimed to identify immune-related markers to establish a nomogram model for AD diagnosis. Three datasets from G...
Male Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Humans Machine Learning Serum Amyloid P-Component Chemokine CXCL1 Aortic Dissection Nomograms Immunomodulation Tissue Inhibitor of Metalloproteinase-1 Databases, Genetic C-Reactive Protein
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Analysis of User-Generated Posts on Social Media of Adjuvant Analgesics: A Machine Learning Study.

International journal of medical sciences Jan 1, 2025
Antiepileptics and antidepressants are frequently prescribed for chronic pain, but their efficacy and potential adverse effects raise concerns, including dependency issues. Increased prescriptions, sometimes fraudulent, prompted reclassification of ...
Analgesics Antidepressive Agents Chronic Pain Humans Social Media Anticonvulsants Machine Learning Cross-Sectional Studies
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Identification of common diagnostic genes and molecular pathways in endometriosis and systemic lupus erythematosus by machine learning approach and in vitro experiment.

International journal of medical sciences Jan 1, 2025
Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. Based on GE...
Humans Machine Learning Female Nomograms MicroRNAs Lupus Erythematosus, Systemic Endometriosis Gene Expression Profiling ROC Curve Gene Regulatory Networks
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Prediction of Arteriovenous Access Dysfunction by Mel Spectrogram-based Deep Learning Model.

International journal of medical sciences Aug 19, 2024
The early detection of arteriovenous (AV) access dysfunction is crucial for maintaining the patency of vascular access. This study aimed to use deep learning to predict AV access malfunction necessitating further vascular management. This prospecti...
Renal Dialysis ROC Curve Sound Spectrography Male Middle Aged Deep Learning Arteriovenous Shunt, Surgical Prospective Studies Humans Female Neural Networks, Computer Aged
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Robot-assisted versus conventional laparoscopic radical hysterectomy in cervical cancer stage IB1.

International journal of medical sciences Jan 22, 2023
The aim of this study was to compare survival outcomes of robot-assisted laparoscopic radical hysterectomy (RRH) and conventional laparoscopic radical hysterectomy (LRH) in cervical cancer stage IB1. This is a retrospective study of patients with c...
Hysterectomy Uterine Cervical Neoplasms Humans Robotics Retrospective Studies Laparoscopy Female
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