How is AI transforming genomics research?
AI is revolutionizing genomics by enabling faster data analysis, improving accuracy in gene sequencing, and aiding in personalized medicine.
Can you give examples of AI applications in genomics?
Sure! AI is used in variant calling, predicting gene functions, and identifying potential drug targets.
What are the challenges of using AI in genomics?
Challenges include data privacy concerns, the need for large datasets, and the complexity of biological systems.
How does AI help in personalized medicine?
AI analyzes genetic data to tailor treatments to individual patients, improving outcomes and reducing side effects.
What future trends do you see in AI and genomics?
Future trends include enhanced predictive analytics, integration of multi-omics data, and more robust AI models for clinical applications.
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