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
Qazi–Markouizos syndrome is a rare hereditary condition characterized by non-progressive, congenital hypotonia, severe intellectual disability, an increased proportion of type 2 muscle fibers, which additionally exhibited increased size, as well as dysharmonic skeletal maturation. To date, the molecular mechanism of Qazi–Markouizos syndrome, which is also known as Puerto Rican infant hypotonia syndrome, remains unknown.