Post Your Answer

Utilizing artificial intelligence in drug discovery holds promise for accelerating the development process and identifying novel therapeutic candidates. However, ensuring the safety of AI-generated drugs requires rigorous validation, extensive testing, and adherence to regulatory standards. Ethical considerations include transparency in AI algorithms, accountability for decision-making processes, and safeguarding against biases or errors in predictive models. Collaborative efforts between AI experts, pharmaceutical researchers, and regulatory authorities are essential to mitigate risks and maximize the potential benefits of AI in drug development while prioritizing patient safety and well-being.