Natural language processing for automated breast cancer recurrence detection and classification in computed tomography reports. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I.

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...