AIMC Topic: Melanoma

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The role of mitophagy-related genes in prognosis and immunotherapy of cutaneous melanoma: a comprehensive analysis based on single-cell RNA sequencing and machine learning.

Immunologic research Jan 11, 2025
Mitophagy, the selective degradation of mitochondria by autophagy, plays a crucial role in cancer progression and therapy response. This study aims to elucidate the role of mitophagy-related genes (MRGs) in cutaneous melanoma (CM) through single-cell...
Machine Learning Prognosis Melanoma Humans Gene Expression Profiling Transcriptome Single-Cell Analysis Gene Regulatory Networks Skin Neoplasms Tumor Microenvironment Biomarkers, Tumor Melanoma, Cutaneous Malignant Immunotherapy Mitophagy Sequence Analysis, RNA Gene Expression Regulation, Neoplastic
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A vision-language foundation model for precision oncology.

Nature Jan 8, 2025
Clinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care. H...
Lung Neoplasms Artificial Intelligence Immunotherapy Precision Medicine Medical Oncology Prognosis Humans Clinical Decision-Making Melanoma Neoplasms
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Melanoma Breslow Thickness Classification Using Ensemble-Based Knowledge Distillation With Semi-Supervised Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Jan 7, 2025
Melanoma is considered a global public health challenge and is responsible for more than 90% deaths related to skin cancer. Although the diagnosis of early melanoma is the main goal of dermoscopy, the discrimination between dermoscopic images of in s...
Humans Neural Networks, Computer Databases, Factual Melanoma Deep Learning Supervised Machine Learning Skin Neoplasms Convolutional Neural Networks Image Interpretation, Computer-Assisted Dermoscopy
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Integrating bioinformatics and machine learning to identify AhR-related gene signatures for prognosis and tumor microenvironment modulation in melanoma.

Frontiers in immunology Jan 6, 2025
BACKGROUND: The Aryl Hydrocarbon Receptor (AhR) pathway significantly influences immune cell regulation, impacting the effectiveness of immunotherapy and patient outcomes in melanoma. However, the specific downstream targets and mechanisms by which A...
Databases, Genetic Biomarkers, Tumor Basic Helix-Loop-Helix Transcription Factors Humans Animals Melanoma Transcriptome Machine Learning Gene Expression Regulation, Neoplastic Gene Expression Profiling Skin Neoplasms Mice Prognosis Lymphocytes, Tumor-Infiltrating Tumor Microenvironment Computational Biology Receptors, Aryl Hydrocarbon
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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Scientific reports Dec 30, 2024
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the...
Humans Retrospective Studies Tomography, X-Ray Computed Female Melanoma Aged Treatment Outcome Deep Learning ROC Curve Adult Immune Checkpoint Inhibitors Male Middle Aged
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The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study.

JMIR dermatology Dec 18, 2024
BACKGROUND: Thus far, considerable research has been focused on classifying a lesion as benign or malignant. However, there is a requirement for quick depth estimation of a lesion for the accurate clinical staging of the lesion. The lesion could be m...
Holography Humans Neural Networks, Computer Imaging, Three-Dimensional Skin Diseases Melanoma Skin Neoplasms
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Going Smaller: Attention-based models for automated melanoma diagnosis.

Computers in biology and medicine Dec 4, 2024
Computational approaches offer a valuable tool to aid with the early diagnosis of melanoma by increasing both the speed and accuracy of doctors' decisions. The latest and best-performing approaches often rely on large ensemble models, with the number...
Melanoma Skin Neoplasms Dermoscopy Humans Neural Networks, Computer
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Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response.

Apoptosis : an international journal on programmed cell death Dec 4, 2024
To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, we developed an interpretability model for better understanding the survival prediction of cancer. To this end, the optimal features were identified, t...
Immunotherapy Multiomics Humans Machine Learning Prognosis Melanoma Biomarkers, Tumor Neoplasms
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Classification of melanoma skin Cancer based on Image Data Set using different neural networks.

Scientific reports Nov 29, 2024
This paper aims to address the pressing issue of melanoma classification by leveraging advanced neural network models, specifically basic Convolutional Neural Networks (CNN), ResNet-18, and EfficientNet-B0. Our objectives encompass presenting and eva...
Humans Skin Neoplasms Neural Networks, Computer Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Algorithms Melanoma
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MetaPhenotype: A Transferable Meta-Learning Model for Single-Cell Mass Spectrometry-Based Cell Phenotype Prediction Using Limited Number of Cells.

Analytical chemistry Nov 21, 2024
Single-cell mass spectrometry (SCMS) is an emerging tool for studying cell heterogeneity according to variation of molecular species in single cells. Although it has become increasingly common to employ machine learning models in SCMS data analysis, ...
Humans Cell Line, Tumor Machine Learning Single-Cell Analysis Phenotype Mass Spectrometry Melanoma
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