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
Microhydranencephaly (MHAC) is a severe abnormality of brain development characterized by both microcephaly and hydranencephaly. Signs and symptoms may include severe microcephaly, scalp rugae (a series of ridges), and profound developmental delay. Familial occurrence of the condition is very rare but it has been reported in a few families. It has been suggested that MHAC is possibly inherited in an autosomal recessive manner.