革新药物发现:人工智能对效率和准确性的影响

Samuel Nzube Nwosu
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引用次数: 0

摘要

本研究探讨了机器学习和深度学习等人工智能(AI)技术对药物发现的变革性影响。它强调了人工智能在提高效率和精确度、加速流程、完善成果和管理大型数据集方面的作用。报告还讨论了人工智能在现实世界中的应用,如人工智能驱动的药物筛选和预测建模,以及人工智能在个性化药物发现和伦理方面的潜力。文章探讨了人工智能在药物发现领域的当前格局和未来影响,强调了人工智能在推导高效、量身定制的治疗方案方面的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revolutionizing Drug Discovery: The Impact of Artificial Intelligence on Efficiency and Accuracy
This study explores the transformative impact of Artificial Intelligence (AI) techniques, such as machine learning and deep learning, on drug discovery. It highlights the roles of Al in enhancing efficiency and precision, accelerating processes, refining outcomes, and managing large datasets. Real-world applications, like AI-driven drug screening and predictive modeling, are discussed, along with AI's potential for personalized drug discovery and ethical considerations. The current landscape and future implications of AI in drug discovery are examined, underscoring its ability to derive efficient and tailored treatment solutions.
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