Drug Discovery and the Role of Artificial Intelligence in Human Healthcare

Abstract

Abstract: The integration of artificial intelligence (AI) into healthcare and drug development has catalyzed an era of change in medical research and patient care. This research paper examines the evolving landscape of drug development and highlights the central role of artificial intelligence in advancing human healthcare. By combining data-driven approaches with advanced machine learning algorithms, AI can transform target identification, molecular screening, lead optimization and clinical trial design. In healthcare, AI applications include medical image analysis, disease diagnosis, personalized medicine, electronic health information management and more, promising better patient care, cost reduction and advances in medical research. However, these innovations come with challenges such as data protection, bias, regulatory barriers and ethical issues. The article highlights the potential of AI in drug development and healthcare and discusses similar AI-based solutions and methods. It also addresses issues related to data protection, interoperability, data quality, regulatory approval, ethical issues and resource constraints. Responsible development and implementation are critical to the safety and effectiveness of healthcare AI applications. Future work includes improving explainability, promoting knowledge sharing and collaboration, creating ethical frameworks, adapting regulatory processes, integrating AI into clinical practice, and addressing global health disparities. Through collaboration and continued research, AI holds the promise of revolutionizing healthcare, leading to better patient outcomes and a brighter future for medicine.