Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

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Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple’s open ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

The symptom profiles of different neurodegenerative diseases often overlap, and diagnosing age-related cognitive symptoms is ...

Urban trees are critically important to mitigate poor air quality, excessive heat islands, and unmoderated rainwater overflow ...

Artificial intelligence has been a prime concern for cybersecurity for years, but it took on a new urgency at this week’s ...