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Hybrid AI Model Blends Transformer and BiLSTM to Predict Cancer Drug
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Hybrid AI Model Blends Transformer and BiLSTM to Predict Cancer Drug
Researchers at the University of Qom have developed BT-Synergy, a hybrid BiLSTM-Transformer deep learning model that predicts synergistic cancer drug combinations with 0.8458 accuracy by integrating SELFIES molecular encodings with protein language model cell-line representations.
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