A TRANSFORMAÇÃO DA INDÚSTRIA FARMACÊUTICA PELA INTELIGÊNCIA ARTIFICIAL: IMPACTOS NO DESENVOLVIMENTO DE MEDICAMENTOS

The overall objective is to investigate how AI influences everything from the discovery of new compounds to the optimization of research and development processes. The methodology was based on a literature review using Google Scholar, prioritizing publications between 2020 and 2024. The main advances, such as neural networks and deep learning algorithms, which accelerate the identification of bioactive compounds and the conduct of clinical trials were explored. In development, AI has proven to be an essential tool for optimizing processes, reducing costs and increasing the efficiency of clinical trials, standing out for its ability to predict failures and personalize treatments. The conclusion highlights that, despite the advantages of AI, there are ethical and regulatory challenges that need to be addressed to ensure its safe and effective implementation. By overcoming these obstacles, AI will continue to profoundly transform the pharmaceutical industry, promoting more effective and accessible treatments.