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
Acquired idiopathic generalized anhidrosis (AIGA) is characterized by generalized absence of sweating without other autonomic and neurologic dysfunction.
AIGA is classified into 3 subgroups: idiopathic pure sudomotor failure (IPSF), sweat gland failure (SGF), and sudomotor neuropathy, with each subgroup presenting a different pathogenesis.
Quantitative sudomotor axon reflex test and microneurography are used in the diagnosis of AIGA. However, these refined methods are mostly used for research purposes and not generally available.
Skin biopsy analysis may play a crucial role in the identification of AIGA subgroups.