Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate.

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Title: Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate.
Authors: Zhou, Peng1,2 (AUTHOR), Chen, Sitong1,3,4,5,6 (AUTHOR), Li, Yingli1,3,4,5,6 (AUTHOR), Li, Yan1,3,4,5,6 (AUTHOR) eyedrliyan@outlook.com
Source: PLoS ONE. 4/24/2026, Vol. 21 Issue 4, p1-9. 9p.
Database: Academic Search Ultimate
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  Data: Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate.
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        Value: 10.1371/journal.pone.0348085
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        Text: English
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      – TitleFull: Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate.
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