AI in Drug Discovery: Ethical and Regulatory Considerations
The Crucial Role of Big Data and Data Quality
The success of AI in drug discovery is entirely dependent on the quality and quantity of the data it is trained on. This is a crucial foundation of the Artificial Intelligence in Drug Discovery Market, as highlighted in a report on the Artificial Intelligence in Drug Discovery Market. AI algorithms can be trained on vast amounts of omics data, compound libraries, and clinical trial results. However, if this data is incomplete, inaccurate, or biased, the AI's predictions will be flawed. The discussion here could focus on the challenges of data curation, the importance of creating standardized databases, and the ongoing efforts to ensure the integrity of the data that fuels AI.
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