Hybrid AI Model Blends Transformer and BiLSTM to Predict Cancer Drug Synergy
Researchers at the University of Qom have developed BT-Synergy, a hybrid BiLSTM-Transformer deep learning model that predicts synergistic cancer drug ...
Researchers at the University of Qom have developed BT-Synergy, a hybrid BiLSTM-Transformer deep learning model that predicts synergistic cancer drug ...
A new dual-branch deep learning framework combining GAN-based super-resolution and transformer spectral modeling achieves over 99 percent accuracy classifying hyperspectral ...
Swansea University researchers have developed a hierarchical contrastive learning framework that combines scarce GP-recorded labels with abundant rule-based eGFR labels ...
Researchers in India have developed a hybrid CNN-Transformer deep learning model that classifies lung cancer and its major subtypes from ...
Researchers in China have developed a Transformer-CNN deep learning framework that segments and grades gastric intestinal metaplasia in whole slide ...
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© 2026 Scienmag - Science Magazine