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A non-invasive end-to-end intelligent assistance system for breast ultrasound
Abstract Although artificial intelligence enhances medical image classification to effectively improve lesion diagnosis accuracy and efficiency, it still faces generalization challenges in breast ultrasound and its clinical potential remains underutilized in complex real-world scenarios. Here, we develop and test an end-to-end breast intelligent recognition device (BIRD) for women across diverse institution/population datasets.
Synthesis of 1,4‐Naphthoquinone‐Benzenesulfonamide Derivatives with Anti‐H. Pylori Activity and Studies on their Mechanism of Action
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description cmdc70092-sup-0001-SuppData-S1.pdf2.9 MB Supplementary Material References 1, , , , , , , , , , , , , , , , , Gastroenterology 2024, 166, 605. 2, , , , J. Hematol. Oncol. 2025, 18, 10. 3, , JAMA. 2017, 317, 1572. 4, , , , , , Lancet Gastroenterol. Hepatol. 2023, 8, 553. 5, , Evidence-Based Nurs. 2023, 399, 629. 6, , , , , , , , , , , , , , , , Adv. Sci. 2023, 10, e2206957.
Reactive Carbonyl Species Scavenger: Epigallocatechin-3-Gallate
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