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 ‹ Tuberculosis in relation to HIV risk

Tuberculosis in relation to HIV – Research at molecular level

Tuberculosis in relation to HIV – Prevention

Tuberculosis – Causes | Risk factors

HIV/AIDS – Transmission

HIV/AIDS – Transmission | Mother-to-child

Extensively drug-resistant tuberculosis – Epidemiology

Extensively drug-resistant tuberculosis – XDR-TB and HIV/AIDS

Tuberculosis – Prognosis

HIV superinfection – Immunology of HIV superinfection

Diseases of poverty – Diseases | Cardiovascular disease

Diseases of poverty – Diseases | Asthma

Latent tuberculosis – Abstract

HIV/AIDS in Africa – Regional prevalence | Central Africa

HIV superinfection – HIV co-infection offset

HIV/AIDS in Africa – Tuberculosis coinfections

Opportunistic infection – Causes

Latent tuberculosis – Transmission | Latent disease

Opportunistic infection – Prophylaxis (Prevention)

Long-term nonprogressor – Abstract

Multi-drug-resistant tuberculosis – Epidemiology | Russian prisons | Contributing factors

HIV and pregnancy – Pregnancy planning

HIV and pregnancy – Prevention of mother-to-child transmission | Indications to start medications

HIV drug resistance – Potential limited effects of current drugs

Multi-drug-resistant tuberculosis – Epidemiology

HIV drug resistance – Contemporary treatment issues