Abstract
Artificial intelligence (AI) is the imitation of human intelligence by computers. It is the science of creating intelligent machines capable of performing tasks equivalent or superior to those performed by humans. The process involves collecting data, formulating rules for its use, making approximate or definitive determinations, and self-correcting. In particular, artificial intelligence and machine learning (ML) have attracted considerable attention in a variety of sectors, including pharmaceutical sciences, and have led to a rapid rise in new applications for machine learning in numerous areas of pharmaceutical sciences. In computational chemistry, deep learning models have been used to predict drug-target interactions, develop new compounds, and predict pharmacokinetics. AI, robotics, and advanced computing have applications in drug repurposing, quality-by-design, 3D printing, and nanomedicine. When used properly, AI techniques can improve patient treatment, detection and reduction of risk factors, and identification of complications.
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