Application of Artificial Intelligence and Machine Learning in Drug Discovery and Development of Smart Drugs

Abstract

This research paper explores the application of artificial intelligence (AI) in drug discovery and smart medicine development, highlighting its transformative impact on healthcare. The paper examines how AI is significantly streamlining the drug development process by rapidly analyzing biological data, predicting drug-target interactions, and identifying promising drugs. It addresses important issues including how AI is revolutionizing drug discovery and smart medicine development, the benefits and limitations of AI in this field, and ethical concerns arising from its integration. In addition, the paper discusses the future prospects of AI-based smart medicines and their potential impact on patient outcomes. To provide practical insights, various Python-integrated solutions are presented, such as complex activity prediction with RandomForestClassifier, visualization of drug discovery time using AI compared to traditional methods, bias detection in datasets, data anonymization, and assessing the impact of AI-powered smart medicine on healthcare. These solutions illustrate how AI can improve the efficiency and effectiveness of smart medicine creation, while considering ethical principles and patient-centered care.

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