Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin
Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)
Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies
Abstract
Björnstad syndrome is an autosomal recessive congenital condition involving pili torti and nerve deafness and hair abnormalities.
It was first characterized in 1965, in Oslo, by prof. Roar Theodor Bjørnstad (1908–2002).
It has been mapped to BCS1L. Hearing disabilities related to Björnstad syndrome are congenital, and the severity of the deafness varies from person to person. Pili torti is recognized in early childhood and is characterised by twisted hair shafts and brittle hair.