Artificial Intelligence in Drug Discovery

The identification and development of new pharmaceuticals is being greatly accelerated by artificial intelligence (AI), which is transforming the field of drug research and discovery process. Artificial intelligence (AI) algorithms can evaluate large quantities of biological, chemical, and clinical data much more quickly and correctly than traditional methods, especially those that use machine learning and deep learning. With the aid of these technologies, medication interactions may be predicted, drug design can be optimized, and possible adverse effects can be more accurately identified. As a result, AI is speeding up the process of finding new therapeutic options and cutting down on the expenses and lead times involved in introducing new medications to the market.

  • Target identification and validation
  • Simulation of drug-drug interactions
  • Adverse event prediction

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