ARTIFICIAL INTELLIGENCE IN PHARMACY
Keywords:
Artificial neural networks, Drug discovery, Drug delivery research, Hospital pharmacyAbstract
Computer science's artificial intelligence (AI) field develops tools for machines to analyze complex data and perform tasks more effectively. The amount of research on artificial intelligence has skyrocketed, and its application to healthcare services and research is developing at a faster rate. This paper explains in detail the potential benefits and drawbacks of artificial intelligence (AI) in pharmaceutical and healthcare research, utilizing specific algorithms and deep and machine learning integration. Examine the data that medical systems employ. AI has gained recognition in recent years for its use in a number of pharmaceutical science domains, particularly pharmacological research, where it serves as an efficient instrument for data mining based on vast amounts of pharmacological data and machine learning techniques. Therefore, artificial intelligence (AI) has been applied to de novo drug design, activity scoring, virtual screening, and in silico assessment of a pharmacological molecule's absorption, distribution, metabolism, excretion, and toxicity.
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