Emerging Technologies in Drug Discovery for Providing Efficient Services to Patients: Future Opportunities and Challenges

Abstract

This chapter examines the current landscape and future prospects of emerging technologies in drug discovery, focusing on their potential to provide efficient and innovative services to patients. The integration of technologies such as artificial intelligence (AI), machine learning, high-throughput screening, and advanced analytics is reshaping the drug discovery process, promising accelerated development timelines and improved therapeutic outcomes. AI and machine learning algorithms play a pivotal role in data analysis, aiding in the identification of potential drug candidates, target validation, and predictive modeling. High-throughput screening technologies enable the rapid testing of large compound libraries, expediting the identification of lead compounds and optimizing drug development pipelines. Additionally, advanced analytics facilitate the interpretation of complex biological data, enhancing our understanding of disease mechanisms and drug interactions. The convergence of these technologies holds immense promise for personalized medicine.