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This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.
Early Transition Metal Stabilized High Capacity Oxidatively Stable Cathodes of Lithium-ion Batteries
The development of lithium-ion batteries (LIBs) is critical for advancing portable electronics, electric vehicles, and renewable energy storage solutions.