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Quantifying the Functional Gap in Alkaptonuria Through Machine Learning and Clinical Data Integration.

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Title: Quantifying the Functional Gap in Alkaptonuria Through Machine Learning and Clinical Data Integration.
Authors: Visibelli, Anna1 (AUTHOR), Finetti, Rebecca1,2 (AUTHOR), Roncaglia, Bianca1,3 (AUTHOR), Trezza, Alfonso1,4 (AUTHOR), Marzocchi, Barbara1,2,5 (AUTHOR), Spiga, Ottavia1,3 (AUTHOR), Santucci, Annalisa1,2,4,5 (AUTHOR) annalisa.santucci@unisi.it
Source: Bioengineering (Basel). Jun2026, Vol. 13 Issue 6, p604. 13p.
Database: Academic Search Ultimate
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  Data: Quantifying the Functional Gap in Alkaptonuria Through Machine Learning and Clinical Data Integration.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194951662
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        Value: 10.3390/bioengineering13060604
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        Text: English
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      – TitleFull: Quantifying the Functional Gap in Alkaptonuria Through Machine Learning and Clinical Data Integration.
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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