Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry

Seema Yadav , Abhishek Singh , Rishika Singhal , Jagat Pal Yadav
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Abstract

To create novel treatments and treat complex diseases, the pharmaceutical sector is essential. Drug discovery, however, is a time-consuming, pricey, and dangerous endeavor. Artificial intelligence (AI) has become a potent instrument that has transformed several industries, including healthcare, in recent years. This summary gives a general overview of how AI is expediting the creation of novel medicines, revolutionizing the pharmaceutical sector, and enabling drug discovery. The pharmaceutical sector is experiencing a drug discovery revolution because of AI. The drug discovery process is changing at different phases because of AI approaches like machine learning and deep learning. This abstract demonstrates how AI facilitates drug development through target identification, lead compound optimization, drug design, drug repurposing, and clinical trial enhancement. AI integration has the potential to hasten the creation of novel treatments, save costs, and improve patient outcomes. To fully realize the potential of AI in pharmaceutical research and development, issues relating to data accessibility, algorithm interpretability, and laws must be resolved.

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彻底改变药物发现:人工智能对药理学和制药业进步的影响
为了创造新的治疗方法和治疗复杂的疾病,制药行业是必不可少的。然而,药物发现是一项耗时、昂贵且危险的工作。近年来,人工智能(AI)已成为改变包括医疗保健在内的多个行业的有力工具。本摘要概括介绍了人工智能如何加快新型药物的创造,如何彻底改变制药行业,以及如何促进药物发现。由于人工智能的出现,制药行业正在经历一场新药研发革命。机器学习和深度学习等人工智能方法正在改变不同阶段的药物发现过程。本摘要展示了人工智能如何通过靶点识别、先导化合物优化、药物设计、药物再利用和临床试验改进来促进药物开发。人工智能的整合有可能加速新疗法的创造、节约成本并改善患者的治疗效果。要充分发挥人工智能在药物研发中的潜力,必须解决与数据可访问性、算法可解释性和法律有关的问题。
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