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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]