(2026). Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate. PLOS ONE.
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Chicago Style (17th ed.) Citation
"Machine Learning Identifies Pupil Size and Corneal Thickness as Key Predictors of Axial Elongation Rate."
PLOS ONE 2026.
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MLA (9th ed.) Citation
"Machine Learning Identifies Pupil Size and Corneal Thickness as Key Predictors of Axial Elongation Rate."
PLOS ONE, 2026.
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Warning: These citations may not always be 100% accurate.