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Wearable, stretchable sensor for quick, continuous, and non-invasive detection of solid-state skin biomarkers

Detecting diseases early requires the rapid, continuous and convenient monitoring of vital biomarkers. Researchers have now developed a novel sensor that enables the continuous, and real-time detection of solid-state epidermal biomarkers, a new category of health indicators. The team’s wearable, stretchable, hydrogel-based sensor overcomes the limitations of current methods that rely on biofluid samples, such

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Development of a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries

Scientists have developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data. The model proved able to accurately estimate batteries’ longevity by analyzing their charge, discharge and voltage relaxation process data without relying on any assumption about specific battery degradation mechanisms. The technique

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Peering into the mind of artificial intelligence to make better antibiotics

Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it’s hard to read an AI model’s mind. Explainable AI (XAI) could help us do just that by providing justification for a model’s decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help

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Urban street networks, building density shape severity of floods

The design of streets and layout of buildings have an impact on a city’s resilience in the face of increasingly severe floods brought on by climate change. Researchers look at buildings and other urban structures as physicists consider elements in complex material systems. With this insight, the researchers have developed a new approach to urban

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