Research transforms understanding of disease emergence and identifies new strategies for agricultural virus surveillance in ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

Prompt-based methods, which involve the careful design of inputs to guide large language model (LLM) outputs, are beginning to reshape bioinformatic analytical workflows. The authors compare ...

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American business services giant Conduent has confirmed that a 2024 data breach has impacted over 10.5 million people, according to notifications filed with the US Attorney General's offices. Japanese ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...