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Kipi Clinical Trial Qualifier

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Snowflake2025-03-07 更新2025-04-09 收录
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Introducing Kipi LifeScience DataHub - Clinical Trial Qualifier which leverages Natural Language processing (NLP) techniques and other ML Functions that assist in understanding medical terminology and context within unstructured text, ensuring precise and swift identification of eligible patients for the clinical trials. Within our app, the Cortex function 'snowflake.cortex.embed_text' processes PDF, TEXT, DOCX files, converting them into an embeddable format for accurate responses to user queries. This integration creates a secure and efficient environment for analyzing clinical data, ensuring compliance with privacy regulations and delivering actionable insights for the life sciences industry. <p><br/></p> **Note:** The LLM models have some limitations, they can process only a limited number of tokens (words). If you increase the context excerpts value too much, you may see the info message indicating that the token limit has been exceeded for the selected model. <p><br/></p>
提供机构:
kipi.ai
创建时间:
2025-02-19
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