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What could be the role of genetic tests and machine learning of AXIN2 variant dominance in non-syndromic hypodontia? A case-control study in orthodontically treated patients.

Nora AlhazmiAli AlaqlaBader AlmuzzainiMohammed AldreesGhaida AlnaqaFarah AlmasoudOmar AldibasiHala Alshamlan
Published in: Progress in orthodontics (2024)
Our study confirms a link between AXIN2 and hypodontia in Saudi orthodontic patients and suggests that combining machine-learning models with SNP analysis of saliva samples can effectively identify individuals with non-syndromic hypodontia.
Keyphrases
  • machine learning
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • genome wide
  • big data
  • patient reported outcomes
  • artificial intelligence
  • dna methylation
  • patient reported