Protecting patients' right to be forgotten (RtbF) in the digital era underscores algorithms to delete health records from deployed artificial intelligence (AI) models upon requests, a paradigm also known as machine unlearning. Such forgetfulness, how... read more
Predicting large earthquakes remains a significant challenge due to the complexity of fault systems and the variability of preparatory processes. We introduce an unsupervised machine learning framework to categorize seismicity patterns and identify, ... read more
Acute coronary syndrome(ACS) is a common cardiovascular disease and a severe type of coronary heart disease. Electrocardiograms(ECGs) are the initial and indispensable examination for patients suspected of ACS in emergency treatment. Particularly in ... read more
Self-driving laboratories enable accelerated exploration of chemical and materials spaces by coupling automated experimentation with machine-learning-guided decision making. However, extending autonomous discovery to compositionally complex materials... read more
Forest conservation and management are increasingly challenged by evolving societal expectations, biodiversity decline, and the impacts of climate change, requiring accurate, spatially detailed data for effective decision-making. Remote sensing and p... read more
Alzheimer's disease (AD) is a complex, multifactorial neurodegenerative disorder with substantial heterogeneity in progression and treatment response. Despite recent therapeutic advances, predictive models capable of accurately forecasting individual... read more
Sex differences in mental health are often overlooked, yet gut microbiota-host metabolite interactions may contribute to sexual dimorphism in depression. In a population-based cohort, we investigated sex-specific links among plasma tryptophan metabol... read more
Efficient monitoring and prediction of appliance energy consumption in low-energy houses are important for optimizing building performance and advancing smart energy management. Wireless sensor networks (WSNs) provide high-resolution indoor environme... read more
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