This paper examines AI's potential significance in advancing precision genetic disease treatment, provides a peek at its use in genetic clinical care, examines a number of existing AI and ML uses in genetics, provides a clinician primer on critical aspects of these technologies, and makes predictions about AI's potential future applications in ...

2025年4月12日 · Artificial intelligence (AI) has emerged as a powerful platform to streamline the analysis of complex genomic datasets and help researchers explore the genetic basis of important...

2024年10月23日 · The AI-designed synthetic DNA can switch on genes only in specific kinds of cells in the body. The researchers describe the AI platform, known as Computational Optimization of DNA Activity, or CODA, in an article published in the journal Nature on October 23.

2021年10月4日 · Despite an enormous experimental effort, the vast majority of the DNA control over gene expression remains a mystery. With AI, we can explore new possibilities for finding patterns in the genome and provide mechanistic hypotheses about sequence changes.

2025年1月8日 · An artificial-intelligence model trained on data about where DNA is tightly packaged and where it is open to regulators can predict gene expression and interactions between transcription...

2025年1月13日 · After introductory explanations and examples, the review discusses AI in clinical genetics in three main categories: clinical diagnostics; management and therapeutics; clinical support. The...

Based on the scope of our review and comparative analysis criteria, we identified 32 different AI/ML approaches applied in variable genomics studies and report widely adapted AI/ML algorithms for predictive diagnostics across several diseases. Keywords: artificial intelligence, machine learning, gene expression, gene variant, predictive analysis.

2025年1月22日 · GET simulates how genes are turned off and on in different biological scenarios, also known as gene expression. Researchers describe GET in a study recently published in Nature (opens in new window), and note that it could make biological experiments faster and more affordable to run.

2024年1月30日 · Artificial intelligence (AI) is revolutionizing many real-world applications in various domains. In the field of genomics, multiple traditional machine-learning approaches have been used to understand the dynamics of genetic data.

2023年5月19日 · Biologists have used machine learning, a type of AI, to identify 'synthetic extreme' DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA sequences...