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I'm seeking a professional to assist in writing a comprehensive paper and coding a hierarchical deep learning framework. This framework should integrate various AI models—primarily Transformers, along with CNNs and RNNs—to process diverse medical data sources, predominantly blood tests and genomic data. The objectives of this project are: 1. Creating a robust deep learning framework. 2. Enhancing feature extraction capabilities with attention mechanisms and residual connections to capture both local and global features in blood cancer data. 3. Improving classification accuracy using an ensemble learning strategy that combines predictions from multiple models. 4. Evaluating the proposed framework's effectiveness against standard machine learning models and traditiona...