AI agents and automated workflows for biomedical research, drug discovery, literature analysis, lab work, and validation.
An autonomous clinical AI agent enhances decision-making through on-premise deployment and reliability metrics, achieving high diagnostic accuracy and selective autonomy.
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The Multimodal Anonymizer: a fully local multi-agent AI system for medical data deidentification
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Agentic-AI-ready genome-wide poxvirus-host interaction screen refined by a protein language model
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According to a study published in Nature Medicine, a clinical assistant using a large language model (LLM) can forecast maternal and infant conditions by integrating sequential electronic health record data. The findings suggest a potential opportunity for…
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AI is changing the research process, enabling scientists to prioritize experiments more effectively and efficiently.
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General Science
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