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Machine learning has enabled us to predict cancer precisely using transcriptome profiling data. Instead of relying solely on imaging and human expertise, our model can help physicians detect cancer at a much earlier stage and thus greatly improve the potential of patient treatment

  • Updated Nov 13, 2020
  • Jupyter Notebook

This project utilizes TensorFlow and Keras to apply neural networks (Basic, LSTM, and GRU) to predict input parameters for a human head-antenna system using scattering parameters. The GRU model consistently outperforms others, showcasing its potential for accurate predictions

  • Updated Oct 29, 2023
  • Jupyter Notebook

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