Table 1. AI-powered genome sequencing aspects.

AI, artificial intelligence

Aspect	Description
1. Accelerated sequencing	AI shortens the time and expense associated with genome sequencing.
2. Error reduction	AI decreases errors, increasing the accuracy of genome sequencing.
3. Variant identification	AI swiftly and correctly pinpoints genetic variations related to diseases or traits.
4. Personalized medicine	AI uses genomic data analysis to personalize medicines based on each patient's genetics.
5. Population studies	Large-scale datasets are analyzed using AI to provide insights about population-level genetic variants.
6. Structural variation analysis	Large-scale genomic rearrangements and structural changes can be found with the help of AI.
7. Data integration	AI combines clinical, environmental, lifestyle, and genomic data to provide thorough insights.
8. Scalability	AI makes it possible to scale up sequencing operations and handle enormous genomic datasets.
9. Ethical considerations	Sensitive genomic data storage and dissemination provide ethical difficulties.
10. Regulatory compliance	AI ensures that AI-driven sequencing complies with regulatory requirements and protects user data.