From Code to Cure: The Role of AI in Accelerating Drug Discovery

Abstract

Technology is critical in every aspect of life, including drug discovery. The healthcare sector is heavily dependent on drug discovery to combat an increasing prevalence of diseases in populations, with new medicines being required to address drug resistance. Artificial intelligence (AI) is becoming more important due to increased drug discovery complexity as more factors must be considered before a drug is introduced. Development of medicines now requires consideration of several factors that affect consumers and the developers, making it essential to ensure efficiencies to achieve a balance between development and sustainability. Drug discoveries now use cutting-edge algorithms and machine-learning approaches to enhance processes and achieve established goals like drug effectiveness and security. To increase the use of artificial intelligence as one of the technologies being implemented, the study suggests a methodology that integrates AI into a drug discovery process. The method was established to enhance data analysis and drug prediction through dependence on algorithms that optimize the process. The paper includes a block diagram to show the various parts of the process and a flowchart that shows the introduction of AI in the simulated process.