Piero Rinaldo, M.D., Ph.D.
Dr. Rinaldo is currently interested in the clinical implementation of multivariate pattern recognition software that improves the interpretation of complex profiles of laboratory results.
The goal is to integrate all clinically significant results available to diagnose a particular condition in a single score in a manner that is objective, evidence-based, and open to worldwide collaboration and data sharing. The software produces post-analytical tools that are available on demand through a web interface.
This approach was first applied to newborn screening, and has grown to involve 168 programs in 50 countries, and the creation of the largest database of true positive cases (>14,000 cases, almost 1 million data points).
Significance to patient care
Currently, the approach outlined above has resulted in performance metrics (low false positive rate, high positive predictive value) that are 10 times better than the national average for newborn screening of metabolic disorders by tandem mass spectrometry.
Research Doctor of Developmental Sciences.
Thesis: Development of a new method for the diagnosis of inherited disorders of beta-oxidation and its application to the study of SIDS
Thesis: Qualitative and quantitative analysis of organic acid excretion in neonatal urine by gas chromatography/mass spectrometry
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