AI-Powered Drug Discovery: A Review of Machine Learning Applications in Carcinoma Diagnosis and Treatment

AI comprises well-established technology for learning and identifying novel features, such as machine learning. The present article first discusses an overview of drug research, design, and development. We have also entrusted collaborations with pharmaceutical companies and artificial intelligence companies in drug development. Artificial Intelligence is primarily driven by neural net-works, namely deep neural networks (DNN) and recurrent neural networks (RNN). There are many different AI algorithms; this article describes the most widely used algorithms in the field. In recent years, the process of drug development has been encouraged by artificial Intelligence (AI). The article also provides examples of how AI and ML are being used to treat incurable diseases like cancer. A promising novel chemical found during drug discovery must proceed through the difficult and drawn-out drug development procedure; artificial intelligence techniques are being used more and more in drug discovery to deal with problems that have proven difficult to resolve.