AI Medical Compendium Journal:
International journal of molecular sciences

Showing 11 to 20 of 423 articles

Towards Precision in Sarcopenia Assessment: The Challenges of Multimodal Data Analysis in the Era of AI.

International journal of molecular sciences May 7, 2025
Sarcopenia, a condition characterised by the progressive decline in skeletal muscle mass and function, presents significant challenges in geriatric healthcare. Despite advances in its management, complex etiopathogenesis and the heterogeneity of diag...
Humans Artificial Intelligence Machine Learning Data Analysis Biomarkers Precision Medicine Sarcopenia Muscle, Skeletal
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Role and Potential of Artificial Intelligence in Biomarker Discovery and Development of Treatment Strategies for Amyotrophic Lateral Sclerosis.

International journal of molecular sciences May 2, 2025
Neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), present significant challenges owing to their complex pathologies and a lack of curative treatments. Early detection and reliable biomarkers are critical but remain elusive. A...
Humans Artificial Intelligence Biomarkers Deep Learning Proteomics Amyotrophic Lateral Sclerosis Neuroimaging
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GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma.

International journal of molecular sciences May 2, 2025
Glioblastoma (GBM) is a fatal brain cancer known for its rapid and aggressive growth, with some studies indicating that females may have better survival outcomes compared to males. While sex differences in GBM have been observed, the underlying biolo...
Sex Characteristics Humans Sex Factors Adult Machine Learning Biomarkers, Tumor Metabolomics Female Metabolome Brain Neoplasms Aged Glioblastoma Male Middle Aged Proteomics Proteome
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Integration of Bioinformatics and Machine Learning Strategies Identifies Ferroptosis and Immune Infiltration Signatures in Peri-Implantitis.

International journal of molecular sciences May 1, 2025
Peri-implantitis (PI) is a chronic inflammatory disease that ultimately leads to the dysfunction and loss of implants with established osseointegration. Ferroptosis has been implicated in the progression of PI, but its precise mechanisms remain uncle...
Humans Machine Learning Computational Biology Ferroptosis Toll-Like Receptor 4 Peri-Implantitis Biomarkers Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks
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Bioinformatics Approach to Identifying Molecular Targets of Isoliquiritigenin Affecting Chronic Obstructive Pulmonary Disease: A Machine Learning Pharmacology Study.

International journal of molecular sciences Apr 21, 2025
To identify the molecular targets and possible mechanisms of isoliquiritigenin (ISO) in affecting chronic obstructive pulmonary disease (COPD) by regulating the glycolysis and phagocytosis of alveolar macrophages (AM). Datasets GSE130928 and GSE13896...
Computational Biology Humans Macrophages, Alveolar Databases, Genetic Machine Learning Phagocytosis Pulmonary Disease, Chronic Obstructive Protein Interaction Maps Chalcones Gene Expression Profiling Gene Regulatory Networks Glycolysis
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Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study.

International journal of molecular sciences Apr 18, 2025
Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error of metabolism affecting tyrosine catabolism. The risk of HCC is higher in late diagnoses despite treatment. Alpha-fetoprotein (AFP) is widely used to...
Liver Neoplasms Carcinoma, Hepatocellular Longitudinal Studies Follow-Up Studies Early Detection of Cancer alpha-Fetoproteins Alkaline Phosphatase Infant Adolescent Child, Preschool Child Female Biomarkers, Tumor Humans Infant, Newborn Male Machine Learning Young Adult Middle Aged Retrospective Studies Adult Alanine Transaminase Tyrosinemias
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Integrating Machine Learning and Bulk and Single-Cell RNA Sequencing to Decipher Diverse Cell Death Patterns for Predicting the Prognosis of Neoadjuvant Chemotherapy in Breast Cancer.

International journal of molecular sciences Apr 13, 2025
Breast cancer (BRCA) continues to pose a serious risk to women's health worldwide. Neoadjuvant chemotherapy (NAC) is a critical treatment strategy. Nevertheless, the heterogeneity in treatment outcomes necessitates the identification of reliable biom...
Biomarkers, Tumor Middle Aged Single-Cell Analysis Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Machine Learning Neoadjuvant Therapy Prognosis Cell Death Female Breast Neoplasms Humans
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Deep Learning-Based Comparative Prediction and Functional Analysis of Intrinsically Disordered Regions in SARS-CoV-2.

International journal of molecular sciences Apr 5, 2025
This study explores the role of intrinsically disordered regions (IDRs) in the SARS-CoV-2 proteome and their potential as targets for small-molecule drug discovery. Experimentally validated intrinsic disordered regions from the literature were utiliz...
Intrinsically Disordered Proteins Viral Proteins Viroporin Proteins Humans COVID-19 SARS-CoV-2 Deep Learning
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101 Machine Learning Algorithms for Mining Esophageal Squamous Cell Carcinoma Neoantigen Prognostic Models in Single-Cell Data.

International journal of molecular sciences Apr 4, 2025
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the digestive tract, characterized by a high recurrence rate and inadequate immunotherapy options. We analyzed mutation data of ESCC from public databases and...
Esophageal Neoplasms Data Mining Esophageal Squamous Cell Carcinoma Tumor Microenvironment Single-Cell Analysis Antigens, Neoplasm Mutation Machine Learning Algorithms Prognosis Humans
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Machine Learning Identification of Neutrophil Extracellular Trap-Related Genes as Potential Biomarkers and Therapeutic Targets for Bronchopulmonary Dysplasia.

International journal of molecular sciences Mar 31, 2025
Neutrophil extracellular traps (NETs) play a key role in the development of bronchopulmonary dysplasia (BPD), yet their molecular mechanisms in contributing to BPD remain unexplored. Using the GSE32472 dataset, which includes 100 blood samples from p...
Computational Biology Infant, Newborn Humans Extracellular Traps Bronchopulmonary Dysplasia Machine Learning Neutrophils Gene Expression Profiling Biomarkers Gene Regulatory Networks
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