The Role of AI in Combating Counterfeit Drugs
Keywords:
Artificial Intelligence, Machine Learning, Drug, Block Chain, Data AnalyticsAbstract
The proliferation of counterfeit drugs poses a significant threat to global health, undermining the efficacy of medical treatments and endangering lives. This article explores the pivotal role of Artificial Intelligence (AI) in combating this pressing issue. Through a comprehensive analysis, we discuss various AI-driven strategies, such as machine learning algorithms for pattern recognition in drug packaging, blockchain technology for secure and transparent supply chains, and data analytics for monitoring drug distribution channels. The effectiveness of these technologies in identifying and mitigating the risks associated with counterfeit drugs is evaluated, highlighting both successes and areas for improvement. The article also examines the regulatory and ethical challenges that arise with the adoption of AI technologies in the pharmaceutical sector. By integrating AI solutions, stakeholders can enhance detection capabilities and improve the integrity of drug supply chains, thereby safeguarding public health. The call for further research, stricter regulations, and robust AI implementations underscores the critical need for a concerted effort to address the menace of counterfeit drugs effectively.