Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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

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Results for Query ‹ Early response to neural induction gene risk

Aicardi–Goutières syndrome – Abstract

Griscelli syndrome – Abstract

Iridogoniodysgenesis, dominant type – Treatment

Griscelli syndrome – Signs and symptoms

Aicardi–Goutières syndrome – Diagnostic criteria

Methylenetetrahydrofolate reductase – Genetics | Detection of MTHFR polymorphisms

Methylenetetrahydrofolate reductase – Abstract

Weissenbacher–Zweymüller syndrome – Epidemiology

DiGeorge syndrome – Epidemiology

Microlissencephaly – Epidemiology

Ectrodactyly–ectodermal dysplasia–cleft syndrome – Research | Genetics | In vitro model of EEC

Crigler–Najjar syndrome – Research

Iridogoniodysgenesis, dominant type – Abstract

Weissenbacher–Zweymüller syndrome – Treatment

Pelizaeus–Merzbacher disease – Abstract

Ectrodactyly–ectodermal dysplasia–cleft syndrome – Abstract

Piebaldism – Genetics

Gray matter heterotopia – Causes and Prognosis

ROHHAD – Abstract

ROHHAD – Pathogenesis

Pelizaeus–Merzbacher disease – Treatment

Microlissencephaly – Abstract

Neurocutaneous melanosis – Prognosis

Central nervous system cavernous hemangioma – Incidence

Piebaldism – Abstract