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Data availability HAM10000 dataset: Abbreviations ANFIS: Adaptive neuro-fuzzy inference system AK: Actinic keratosis ANN: Artificial neural network AUC: Area under the curve BCC: Basal cell carcinoma CAD: Computer-aided diagnosis CRI: Radiograph image CNN: Convolution neural networks DF: Dermatofibroma DT: Decision tree FFNN: Feed-forward neural network GLCM: Gray level co-occurrence matrix GF: Gaussian filtering HKNN: Hierarchical KNN classifier ISIC: International Skin Imaging Collaboration KNN: K-nearest neighbor LBP: Local binary patterns LSTMs: Long short-term memory networks pyogenic gg: Pyogenic granulomas and hemorrhage RF: Random forest ReLU: Rectified linear unit ROC: Receiver operating characteristic RNN: Recurrent neural networks SCC: Squamous cell carcinoma SVM: Support vector machine WHO: World Health Organization ViTs: Vision transformers XAI: Explainable AI References Miller, K

Takeuchi S, Wada K, Nagatani K, Otani N, Osada H, Nawashiro H

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Together, these observations point to a mismatch between circulating GLP-1 levels and GLP-1 function