La convergencia de la ciencia de datos y la medicina de laboratorio
2024
The Convergence of Data Science and Laboratory Medicine
Editorial
Author Information
Author(s): Nieto-Moragas Javier, Marull Arnall Anna, Calvo Boyero Fernando, Martin Pérez Salomón, Marqués García Fernando, Hernando Redondo Javier, Blanco Grau Albert, Cauqui Lende Cristian, Molina Borrás Ángel, Prieto Arribas Daniel, de Rafael González Elena
Primary Institution: Grupo de Trabajo de Ciencia de Datos de la SEQC
Conclusion
The integration of data science in laboratory medicine is expected to revolutionize healthcare towards personalized and precision medicine.
Supporting Evidence
- The convergence between data science and laboratory medicine has increased in recent years.
- Data science tools can extract meaningful information from complex datasets.
- Integration of data science applications in laboratories has accelerated since the COVID-19 pandemic.
- New technologies in data science are expected to improve sample management and result communication.
Takeaway
This article talks about how using data science can help doctors understand and use lab results better, making healthcare more personalized.
Digital Object Identifier (DOI)
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