Revolutionizing Drug Development: Harnessing Artificial Intelligence in Pharmaceutical Sciences.

Samaresh Pal Roy, Sunil Kumar Kadiri, Suchismita Bhowmik, Vimal Patel, Lokesh Deb, Prashant Tiwari
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Abstract

The integration of artificial intelligence (AI) in pharmaceutical sciences marks a signifi-cant milestone in the field of drug discovery and development, presenting unique prospects for crea-tivity and productivity. This review article delves into the significant impact of AI on contemporary pharmaceutical practices, highlighting its incorporation in different phases of drug discovery and personalized medicine. Our goal is to offer a thorough analysis of the current landscape of AI appli-cations in the field, outline the extent of recent progress, and explore the obstacles and potential future paths for AI technologies. Significant advancements have been made in the drug development pro-cess, resulting in cost reduction and improved drug efficacy and safety profiling. In order to fully harness its potential, the various obstacles involved in the integration of AI must be overcome. These include ensuring the quality of data, navigating through regulatory requirements, and addressing eth-ical considerations. This review provides a comprehensive analysis of AI techniques, discussing the strengths and limitations of current technologies and identifying emerging trends that could poten-tially shape future pharmaceutical landscapes. Exploring the far-reaching effects of AI on healthcare, economics, and ethics, this analysis offers valuable insights into the potential of AI-driven strategies to revolutionize healthcare, making it more individualized and efficient. In the end, this review seeks to provide guidance to stakeholders in understanding the intricacies of AI in pharmaceutical sciences and utilizing its potential to improve patient outcomes.

革命性的药物开发:在制药科学中利用人工智能。
人工智能(AI)在制药科学中的整合标志着药物发现和开发领域的一个重要里程碑,为创造力和生产力提供了独特的前景。这篇综述文章深入探讨了人工智能对当代制药实践的重大影响,强调了人工智能在药物发现和个性化医疗的不同阶段的应用。我们的目标是对该领域人工智能应用的现状进行全面分析,概述最近的进展程度,并探索人工智能技术的障碍和潜在的未来路径。在药物开发过程中取得了重大进展,从而降低了成本,提高了药物疗效和安全性。为了充分利用其潜力,必须克服人工智能集成所涉及的各种障碍。这包括确保数据的质量,通过监管要求进行导航,以及解决道德问题。本综述对人工智能技术进行了全面分析,讨论了当前技术的优势和局限性,并确定了可能影响未来制药格局的新兴趋势。本分析探讨了人工智能对医疗保健、经济和伦理的深远影响,为人工智能驱动战略的潜力提供了有价值的见解,以彻底改变医疗保健,使其更加个性化和高效。最后,本综述旨在为利益相关者提供指导,以了解人工智能在制药科学中的复杂性,并利用其潜力改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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