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Related Concept Videos

Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
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FISH for Pre-implantation Genetic Diagnosis
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Artificial intelligence in clinical genetics.

Dat Duong1, Benjamin D Solomon2

  • 1Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

European Journal of Human Genetics : EJHG
|January 13, 2025
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Summary
This summary is machine-generated.

Artificial intelligence (AI) is rapidly advancing and will significantly transform clinical genetics. This review explores AI applications in diagnostics, therapeutics, and support, predicting dramatic evolution in the field.

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Area of Science:

  • Genetics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly powerful and accessible, impacting medicine and biomedical research.
  • This review specifically examines the role of AI in clinical genetics, covering past, present, and future applications.

Purpose of the Study:

  • To provide an overview of AI categories relevant to clinical genetics, including machine learning, deep learning, and generative AI.
  • To discuss the applications of AI in clinical genetics across diagnostics, management and therapeutics, and clinical support.
  • To offer predictions on the short, medium, and long-term impact of AI on the field of clinical genetics.

Main Methods:

  • Review of previous, current, and emerging applications of AI in clinical genetics.
  • Explanation of AI categories: machine learning, deep learning, and generative AI.
  • Categorization of AI applications into clinical diagnostics, management and therapeutics, and clinical support.

Main Results:

  • AI is poised to dramatically evolve clinical genetics.
  • Emerging AI applications span diagnostics, therapeutics, and clinical support.
  • Predictions indicate significant, albeit uncertain, changes in the field.

Conclusions:

  • AI will likely cause dramatic evolution in clinical genetics.
  • Preparation is crucial for minimizing risks and maximizing benefits of AI in clinical genetics.
  • All stakeholders in clinical genetics should prepare for AI's impact.