AIMC Topic: Biomarkers, Tumor

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A metabolic fingerprint of ovarian cancer: a novel diagnostic strategy employing plasma EV-based metabolomics and machine learning algorithms.

Journal of ovarian research Feb 12, 2025
Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alteration of systemic metabolism. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids has great potential for OC diagnosis. ...
Middle Aged Case-Control Studies Extracellular Vesicles Metabolomics Metabolome Ovarian Neoplasms Female Aged Adult Biomarkers, Tumor Humans Machine Learning Algorithms
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Artificial intelligence-assisted point-of-care devices for lung cancer.

Clinica chimica acta; international journal of clinical chemistry Feb 11, 2025
Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage detection, which limits treatment options. Early detection and screening can increase survival rates, but traditional medical imaging methods are costly ...
Point-of-Care Systems Humans Lung Neoplasms Artificial Intelligence Biosensing Techniques Biomarkers, Tumor Early Detection of Cancer
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ChatExosome: An Artificial Intelligence (AI) Agent Based on Deep Learning of Exosomes Spectroscopy for Hepatocellular Carcinoma (HCC) Diagnosis.

Analytical chemistry Feb 11, 2025
Large language models (LLMs) hold significant promise in the field of medical diagnosis. There are still many challenges in the direct diagnosis of hepatocellular carcinoma (HCC). α-Fetoprotein (AFP) is a commonly used tumor marker for liver cancer. ...
Humans Artificial Intelligence Carcinoma, Hepatocellular Spectrum Analysis, Raman Exosomes Biomarkers, Tumor Deep Learning Liver Neoplasms
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Differential gene expression analysis and machine learning identified structural, TFs, cytokine and glycoproteins, including SOX2, TOP2A, SPP1, COL1A1, and TIMP1 as potential drivers of lung cancer.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Feb 10, 2025
BACKGROUND: Lung cancer is a primary global health concern, responsible for a considerable portion of cancer-related fatalities worldwide. Understanding its molecular complexities is crucial for identifying potential targets for treatment. The goal i...
Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Lung Neoplasms SOXB1 Transcription Factors Humans Gene Expression Regulation, Neoplastic Poly-ADP-Ribose Binding Proteins Machine Learning Osteopontin Collagen Type I, alpha 1 Chain Biomarkers, Tumor Collagen Type I DNA Topoisomerases, Type II Tissue Inhibitor of Metalloproteinase-1
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Machine Learning-Enabled Non-Invasive Screening of Tumor-Associated Circulating Transcripts for Early Detection of Colorectal Cancer.

International journal of molecular sciences Feb 10, 2025
Colorectal cancer (CRC) is a major cause of cancer-related mortality, highlighting the need for accurate and non-invasive diagnostics. This study assessed the utility of tumor-associated circulating transcripts (TACTs) as biomarkers for CRC detection...
Colorectal Neoplasms Biomarkers, Tumor Male Middle Aged Female Early Detection of Cancer Humans Aged Neural Networks, Computer Sensitivity and Specificity Machine Learning
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An assessment of breast cancer HER2, ER, and PR expressions based on mammography using deep learning with convolutional neural networks.

Scientific reports Feb 9, 2025
Mammography is the recommended imaging modality for breast cancer screening. Expressions of human epidermal growth factor receptor 2 (HER2), estrogen receptor (ER), and progesterone receptor (PR) are critical to the development of therapeutic strateg...
Receptors, Estrogen Receptors, Progesterone ROC Curve Mammography Receptor, ErbB-2 Neural Networks, Computer Female Adult Breast Neoplasms Biomarkers, Tumor Humans Middle Aged Deep Learning Convolutional Neural Networks
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Next-generation sequencing based deep learning model for prediction of HER2 status and response to HER2-targeted neoadjuvant chemotherapy.

Journal of cancer research and clinical oncology Feb 9, 2025
INTRODUCTION: For patients with breast cancer, the amplification of Human Epidermal Growth Factor 2 (HER2) is closely related to their prognosis and treatment decisions. This study aimed to further improve the accuracy and efficiency of HER2 amplific...
Mutation High-Throughput Nucleotide Sequencing Receptor, ErbB-2 Female Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Deep Learning Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Humans Prognosis
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Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.

PloS one Feb 5, 2025
Hepatocellular carcinoma (HCC) is the most prevalent and deadly form of liver cancer, and its mortality rate is gradually increasing worldwide. Existing studies used genetic datasets, taken from various platforms, but focused only on common different...
Protein Interaction Maps Biomarkers, Tumor Databases, Genetic Humans Gene Regulatory Networks Gene Expression Profiling Machine Learning Gene Expression Regulation, Neoplastic Liver Neoplasms Prognosis Carcinoma, Hepatocellular
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Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation.

Breast cancer research : BCR Feb 4, 2025
BACKGROUND: Tumour vascular density assessed from CD-31 immunohistochemistry (IHC) images has previously been shown to have prognostic value in breast cancer. Current methods to measure vascular density, however, are time-consuming, suffer from high ...
Humans Neural Networks, Computer Prognosis Female Image Processing, Computer-Assisted Neovascularization, Pathologic Immunohistochemistry Platelet Endothelial Cell Adhesion Molecule-1 Breast Neoplasms Tumor Microenvironment Biomarkers, Tumor Deep Learning
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Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer.

Scientific reports Feb 4, 2025
Gastric cancer (GC) is one of the most common tumors; one of the reasons for its poor prognosis is that GC cells can resist normal cell death process and therefore develop distant metastasis. Cuproptosis is a novel type of cell death and a limited nu...
Middle Aged Gene Expression Regulation, Neoplastic Humans Female Gene Expression Profiling Nomograms Stomach Neoplasms Machine Learning Transcriptome Random Forest Prognosis Biomarkers, Tumor ROC Curve Kaplan-Meier Estimate Male
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