A study conducted at Hubei University in Wuhan, People's Republic of China, explored the use of an "lysosomal bomb" constructed with amorphous calcium carbonate to induce tumor apoptosis through amplified sonodynamic therapy. The research focused on neutralizing the acidic microenvironment of tumors, causing lysosomal dysfunction, and increasing drug accumulation to enhance treatment efficacy. The study demonstrated promising results in vitro and in vivo, suggesting potential applications for tumor inhibition and medical imaging. This research was supported by various funding sources and has been peer-reviewed for accuracy and validity. [Extracted from the article]
MACHINE learning, NATURAL language processing, LANGUAGE models, COMPUTATIONAL biology, DEEP learning
Abstract
A recent study from Wuhan University in the People's Republic of China explores generative biomedical event extraction using a novel approach based on the pre-trained language model T5. The research highlights the effectiveness of this model in extracting biomedical events and achieving superior performance compared to existing models. Funded by the National Natural Science Foundation of China and the Natural Science Foundation of Zhejiang Province, this peer-reviewed study contributes to the field of biotechnology and computational biomedicine. For more information, readers can refer to the article "Generative Biomedical Event Extraction With Constrained Decoding Strategy" in the IEEE-ACM Transactions on Computational Biology and Bioinformatics. [Extracted from the article]
Published
2025
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