AI-Enhanced Drug Screening: Accelerating Drug Development

Because of the revolutionary effect that artificial intelligence has had on drug screening procedures, drug development has entered a new era of increased productivity. The application of techniques based on artificial intelligence in the process of drug screening not only enhances the accuracy and reliability of the screening process, but it also speeds up the process of identifying potential candidates. This strategy dramatically cuts down on the amount of time and resources that are typically necessary for drug discovery. It does this by utilizing machine learning algorithms and advanced analytics. This paper investigates the numerous artificial intelligence models that are utilized in the process of drug screening. It highlights the capabilities of these models to assess enormous datasets, anticipate compound interactions, and order candidates for further exploration. In the end, artificial intelligence-enhanced drug screening emerges as a vital catalyst in expediting the drug development pipeline. It offers chances for innovation and breakthroughs in pharmaceutical research that are unmatched by any other method. This study makes a significant contribution to our understanding of the synergy that exists between artificial intelligence and drug development. It highlights the potential for this synergy to change the field of medicine and address important difficulties in the healthcare industry.