Publications by authors named "Boxian Hu"
Background: Statins, being the primary pharmacological intervention for hypercholesterolemia, exhibit a notable degree of interpatient variability in their effectiveness, which may be associated with gut microbiota. This study sought to identify the biomarkers for evaluating differences in statin efficacy.
Methods: A quasi case-control study was conducted among participants with hypercholesterolemia and coronary heart disease taking rosuvastatin essential.
Mechanical properties, as crucial physical properties, have a significant impact on the occurrence, development, and metastasis of tumors. Regulating the mechanical properties of tumors to enhance their sensitivity to radiotherapy and chemotherapy has become an important strategy in the field of cancer treatment. Over the past few decades, nanomaterials have made remarkable progress in cancer therapy, either based on their intrinsic properties or as drug delivery carriers.
View Article and Find Full Text PDFIntroduction: Sonodynamic therapy (SDT) has potential clinical applications for cancer therapy, and is yet restricted by complex tumor microenvironmental (TME) factors. Thus, the research problem of TME modulation as well as efficient tumor treatment still needs to be clarified.
Method: In this study, a calcium carbonate (CaCO) nanoplatform was designed for ultrasound (US) and TME response-triggered, which encapsulated AgS and loaded with l-Arg, and further wrapped with RBC/Platelet membrane, named as QD@Ca/M.
Article Synopsis
- - Accurate and rapid detection of binuclear cells (BCs) is crucial for assessing leukemia risk, but manual counting and traditional image processing techniques are inefficient and subject to errors due to staining quality and morphological diversity.
- - The proposed deep learning method employs a multi-task approach, utilizing circular bounding boxes for coarse BC detection and key points for nucleus detection, enhancing accuracy by reducing surrounding interference and allowing for rotation invariance.
- - Additionally, the method includes a fine-grained classification network that uses color layer supervision and a transformer for better region selection, along with an unsupervised cytoplasm generator to improve dataset quality; experiments show this approach surpasses existing methods in nearly all evaluation metrics relevant for cancer screening.