Predicting Longitudinal Caries Trajectories from Childhood to Early Adulthood
Researchers used machine learning to identify three distinct patterns of tooth decay from age 9 to 23 and successfully predicted which children would follow each trajectory based on factors including sex, socioeconomic status, fluoride exposure, and sugar-sweetened beverage consumption.
A plain-English summary of the study's own findings — we don't add our own claims or interpretation. Read the full paper for the complete methods and results, and apply your own clinical judgement.
Read the full study at the sourceRelated CPD from Vital Pulp
Oral Health Management for PEG Fed Children
Oral health care for children fed entirely by PEG tube — a practical guide for Australian oral health therapists.
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