AI in Drug Development: Exploring Its Impact on Genomics and Pharmaceuticals
Understanding the Role of AI in Drug Development
AI in drug development has emerged as a powerful tool, yet many believe it has not lived up to expectations. With advancements in genomics and molecular biology, researchers aim to enhance drug discovery processes.
Innovative Approaches and Challenges
Deep learning algorithms assist in identifying potential drug candidates by analyzing vast datasets in genomics and protein interactions. For instance, the collaboration between universities, including the University of Toronto, and pharmaceutical giants like Merck is crucial for advancing these technologies.
Conclusion on AI and Drug Development
The journey of AI in drug development is ongoing, filled with challenges and opportunities. Companies must navigate these landscapes carefully to leverage AI's full potential.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.