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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-in-drug-regulatory-affairs/
课程评论：没有评论
**课程名称：** 药物监管事务中的生成式人工智能应用 **课程概述：** 本课程是一项全面的教程，旨在探索生成式人工智能在药物监管事务领域的尖端应用。课程将深入探讨实际用例，包括： * **监管情报：** 自动化分析监管趋势和收集洞察。 * **内容创建：** 简化监管提交文件、标签和报告的生成。 * **语言翻译：** 通过人工智能驱动的翻译工具，增强多语言提交和合规性文件。 * **命名实体识别 (NER)：** 从大型数据集中提取关键信息，提高合规性和提交的效率。 * **数据分析：** 利用人工智能对临床试验、安全数据和监管提交进行高级分析和洞察。 此外，课程还将涵盖与个人和工作场所生产力相关的用例。课程还将简要介绍生成式人工智能背后的技术基础概念、市场上的可用产品以及其通用能力。 **学习方式：** 本课程包含测验作业、小型项目任务和实时示例，以巩固学习并让学习者有机会在药物监管事务场景中练习应用这些人工智能技术。 **课程目标：** 完成本课程后，您将能够识别在药物监管流程中实施人工智能的高影响力领域。 **免责声明：** 本培训仅用于教育目的。学习者在将任何概念应用于实时业务环境之前，应进行尽职调查。
In this comprehensive tutorial, you will explore the cutting-edge application of Generative AI within the drug regulatory affairs landscape. This course dives into real-world use cases, including:Regulatory Intelligence: Automating the analysis of regulatory trends and gathering insights.Content Creation: Streamlining the generation of regulatory submission documents, labels, and reports.Language Translation: Enhancing multilingual submissions and compliance documents with AI-powered translation tools.Named Entity Recognition (NER): Extracting critical information from large datasets to improve efficiency in compliance and submissions.Data Analysis: Leveraging AI for advanced analysis and insights from clinical trials, safety data, and regulatory submissions.Besides, it will also cover use cases related to personal productivity and productivity at workplace. Amongst other topics, it will try to explain in brief, some foundational concepts of the technology behind Generative AI, products available in the market and capabilities of Generative AI in general.This course includes quiz assignments, mini-project tasks, and real-time examples to reinforce learning and allow you to practice applying these AI techniques in regulatory affairs scenarios. By the end of the course, you'll be able to identify high-impact areas for AI implementation in drug regulatory processes.Disclaimer:This training is for educational purposes only. Learners should exercise due diligence before applying any concepts in real-time business environments.
