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...
Gene Expression Profiling Transcriptome Single-Cell Analysis Skin Neoplasms Tumor Microenvironment Biomarkers, Tumor Gene Expression Regulation, Neoplastic Melanoma, Cutaneous Malignant Mitophagy Gene Regulatory Networks Immunotherapy Sequence Analysis, RNA Humans Machine Learning Prognosis Melanoma
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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...
Humans Clinical Decision-Making Lung Neoplasms Melanoma Artificial Intelligence Immunotherapy Neoplasms Precision Medicine Medical Oncology Prognosis
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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...
Deep Learning Convolutional Neural Networks Supervised Machine Learning Melanoma Skin Neoplasms Humans Dermoscopy Neural Networks, Computer Databases, Factual Image Interpretation, Computer-Assisted
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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 Melanoma Basic Helix-Loop-Helix Transcription Factors Animals Skin Neoplasms Gene Expression Regulation, Neoplastic Transcriptome Humans Tumor Microenvironment Gene Expression Profiling Lymphocytes, Tumor-Infiltrating Mice Machine Learning Receptors, Aryl Hydrocarbon Computational Biology Prognosis
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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...
Adult Male Middle Aged Deep Learning ROC Curve Immune Checkpoint Inhibitors Female Melanoma Humans Aged Treatment Outcome Retrospective Studies Tomography, X-Ray Computed
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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...
Skin Diseases Holography Melanoma Skin Neoplasms Imaging, Three-Dimensional Humans Neural Networks, Computer
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Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.

Journal of the European Academy of Dermatology and Venereology : JEADV Dec 8, 2024
BACKGROUND: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of the patient is often criticized. Along with medical history, a dermatologist would also consider intra-patient nevi pa...
Melanoma Skin Neoplasms Dermoscopy Sensitivity and Specificity Humans Artificial Intelligence
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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...
Humans Skin Neoplasms Dermoscopy Neural Networks, Computer Melanoma
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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...
Melanoma Immunotherapy Biomarkers, Tumor Multiomics Neoplasms Humans Machine Learning Prognosis
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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 Image Processing, Computer-Assisted Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms Melanoma
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