Mottaghi-Dastjerdi Negar, Soltany-Rezaee-Rad Mohammad
Department of Pharmacognosy and Pharmaceutical Biotechnology, School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran.
Behestan Innovation Factory, Behestan Darou, Tehran, Iran.
Iran J Pharm Res. 2024 Oct 15;23(1):e150510. doi: 10.5812/ijpr-150510. eCollection 2024 Jan-Dec.
Artificial intelligence (AI) has revolutionized the pharmaceutical industry, improving drug discovery, development, and personalized patient care. Through machine learning (ML), deep learning, natural language processing (NLP), and robotic automation, AI has enhanced efficiency, accuracy, and innovation in the field. The purpose of this review is to shed light on the practical applications and potential of AI in various pharmaceutical fields. These fields include medicinal chemistry, pharmaceutics, pharmacology and toxicology, clinical pharmacy, pharmaceutical biotechnology, pharmaceutical nanotechnology, pharmacognosy, and pharmaceutical management and economics. By leveraging AI technologies such as ML, deep learning, NLP, and robotic automation, this review delves into the role of AI in enhancing drug discovery, development processes, and personalized patient care. It analyzes AI's impact in specific areas such as drug synthesis planning, formulation development, toxicology predictions, pharmacy automation, and market analysis. Artificial intelligence integration into pharmaceutical sciences has significantly improved medicinal chemistry, drug discovery, and synthesis planning. In pharmaceutics, AI has advanced personalized medicine and formulation development. In pharmacology and toxicology, AI offers predictive capabilities for drug mechanisms and toxic effects. In clinical pharmacy, AI has facilitated automation and enhanced patient care. Additionally, AI has contributed to protein engineering, gene therapy, nanocarrier design, discovery of natural product therapeutics, and pharmaceutical management and economics, including marketing research and clinical trials management. Artificial intelligence has transformed pharmaceuticals, improving efficiency, accuracy, and innovation. This review highlights AI's role in drug development and personalized care, serving as a reference for professionals. The future promises a revolutionized field with AI-driven methodologies.
人工智能（AI）已经彻底改变了制药行业，改善了药物发现、开发以及个性化患者护理。通过机器学习（ML）、深度学习、自然语言处理（NLP）和机器人自动化，人工智能提高了该领域的效率、准确性和创新性。本综述的目的是阐明人工智能在各个制药领域的实际应用和潜力。这些领域包括药物化学、药剂学、药理学与毒理学、临床药学、药物生物技术、药物纳米技术、生药学以及制药管理与经济学。通过利用机器学习、深度学习、自然语言处理和机器人自动化等人工智能技术，本综述深入探讨了人工智能在加强药物发现、开发过程以及个性化患者护理方面的作用。它分析了人工智能在药物合成规划、制剂开发、毒理学预测、药房自动化和市场分析等特定领域的影响。将人工智能整合到制药科学中显著改善了药物化学、药物发现和合成规划。在药剂学方面，人工智能推动了个性化医疗和制剂开发。在药理学与毒理学方面，人工智能提供了药物作用机制和毒性作用的预测能力。在临床药学方面，人工智能促进了自动化并加强了患者护理。此外，人工智能还为蛋白质工程、基因治疗、纳米载体设计、天然产物治疗药物的发现以及制药管理与经济学做出了贡献，包括市场研究和临床试验管理。人工智能已经改变了制药行业，提高了效率、准确性和创新性。本综述突出了人工智能在药物开发和个性化护理中的作用，可为专业人士提供参考。未来，人工智能驱动的方法有望带来一个变革性的领域。
