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Biochemical, machine learning and molecular approaches for the differential diagnosis of Mucopolysaccharidoses

Crossref DOI link: https://doi.org/10.1007/s11010-019-03527-6

Published Online: 2019-03-21

Published Print: 2019-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kadali, Srilatha

Naushad, Shaik Mohammad

Radha Rama Devi, Akella

Bodiga, Vijaya Lakshmi
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Article History

Received: 3 January 2019

Accepted: 15 March 2019

First Online: 21 March 2019

Compliance with ethical standards

:

: The authors declare that they have no competing interests (financial or non-financial) in the present study.

: The study was approved by the Institutional ethical committee for biomedical research, Institute of Genetics and Faculty of Science, Osmania University. This study complied with the ethical principles outlined in the Declaration of Helsinki.

: Informed written consents were obtained from patients/guardians along with detailed clinical history during their enrollment for the study.