InjectTST's approach of injecting global information into individual channels can benefit other fields beyond time series forecasting by enhancing the modeling capabilities in various domains. For example, in natural language processing (NLP), this method could improve text classification tasks by allowing each word or token to selectively incorporate relevant global context from the entire document. In computer vision, InjectTST's technique could be applied to image recognition tasks where different parts of an image need to focus on specific features while still considering the overall context. Additionally, in healthcare, this approach could aid in patient monitoring systems where multiple vital signs are analyzed together for more accurate predictions and diagnoses.