AI could help pathologists identify HER2-low and HER2-ultralow breast cancers with greater accuracy, according to findings scheduled for presentation at ASCO Annual Meeting.In a study of more than 100 ...

Inspired by it, a polarimetric data-enhanced contrastive learning network (PDCNet) for PolSAR land cover classification is proposed ... Thirdly, a loss function is designed to effectively compute the ...

A crucial factor in reducing dropout rates is the systematic and early identification of the level of student engagement ... We propose a predictive model beyond classification by combining data ...

Assistance from artificial intelligence can potenially increase the number of patients eligible for treatment for HER2-low ...

Researchers developed and validated blood and urine metabolite scores that objectively measure ultra-processed food (UPF) ...