How is AI used in drug discovery?
AI is used in drug discovery to analyze data, predict molecular behavior, and identify potential drug candidates.
Can you give me an example of AI in action during drug discovery?
Sure! For instance, AI algorithms can analyze vast datasets of chemical compounds to predict which ones might be effective against a specific disease.
What are the benefits of using AI in this field?
The benefits include faster drug development, reduced costs, and the ability to uncover new drug candidates that might be overlooked by traditional methods.
Are there any challenges associated with using AI in drug discovery?
Yes, challenges include data quality, the need for large datasets, and the complexity of biological systems that can be hard to model accurately.
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