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.

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 ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

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 ...

Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited resources. Separately, they have proposed forming an international consortium to ...