Publications by authors named "Zhi-Xing Zhu"
World J Pediatr
October 2024
Article Synopsis
- Methylmalonic acidemia (MMA) is a rare genetic disorder with a high false-positive rate in initial diagnostic tests, prompting the need for more accurate screening methods.*
-
- The researchers developed advanced machine learning models using mass spectrometry data from neonatal blood samples to effectively reduce false positives while maintaining high sensitivity and specificity.*
-
- The best-performing model demonstrated impressive accuracy, achieving a 97% area under the curve and minimizing false-positive rates, thereby enhancing the diagnostic process for clinicians identifying MMA in children.*
