Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD.

During the 3rd trimester, the increasing growth slopes are similar for NT (1.11, p < 0.001, R 2 = 0.23, ρ = 0.48) and for ASD (1.01, p < 0.001, R 2 = 0.20, ρ = 0.45) (ANCOVA, p = 0.72), although there is an increasing trend in the HC percentile (MWU, p = 0.83).

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