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
Paris-Trousseau syndrome (PTS) is an inherited disorder characterized by mild hemorrhagic tendency associated with 11q chromosome deletion. It manifests as a granular defect within an individual's platelets. It is characterized by thrombocytes with defects in α-granule components which affects the cell's surfeace area and, consequently, its abitlity to spread when necessary.
"FLI1" has been suggested as a candidate.