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Extended Lombardy's Neonatal Screening Dataset.

G Lopiano1, L Alberti2, C Cereda2

  • 1University of Milano Bicocca, Computer Science, Milano, 20125, Italy. g.lopiano1@campus.unimib.it.

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|December 10, 2025
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Summary
This summary is machine-generated.

Neonatal Screening (NS) data is now publicly available, offering valuable resources for research into genetic disorders and early diagnostic interventions. This dataset supports advancements in neonatal health and data-driven healthcare analysis.

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Area of Science:

  • Medical Research
  • Public Health
  • Genetics

Background:

  • Neonatal Screening (NS) is a crucial secondary prevention program established in the 1960s.
  • NS detects rare genetic disorders in newborns, enabling early interventions to prevent severe health issues.
  • A significant gap exists in publicly accessible datasets for NS research.

Purpose of the Study:

  • To present a comprehensive dataset of Neonatal Screening (NS) blood samples and associated data.
  • To provide valuable insights for medical studies on genetic disorders, early diagnostics, and treatment efficacy.
  • To support academic research in data-driven healthcare analysis and policy development.

Main Methods:

  • Compilation of a decade's worth of NS data from Lombardy.
  • Inclusion of blood samples and associated patient information.
  • Public release of the comprehensive dataset.

Main Results:

  • A comprehensive dataset from nearly a decade of NS in Lombardy is now available.
  • The dataset contains blood samples and associated information.
  • The data is accessible for medical and academic research.

Conclusions:

  • The public availability of this NS dataset enhances research opportunities in neonatal health.
  • This resource can contribute to improving early intervention strategies for genetic disorders.
  • Facilitates data-driven healthcare analysis and policy development in neonatal care.