Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

Logo Beuth University of Applied Sciences Berlin

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

Imprint / Contact

Results for Query ‹ Totally drug-resistant tuberculosis screening

Extensively drug-resistant tuberculosis – Diagnosis

Extensively drug-resistant tuberculosis – Prevention

Multi-drug-resistant tuberculosis – Prevention

Tuberculosis – Diagnosis | Latent tuberculosis

Multi-drug-resistant tuberculosis – Prevention | DOTS-Plus

Tuberculosis in relation to HIV – Research at molecular level

Tuberculosis – Diagnosis | Active tuberculosis

Carbapenem-resistant enterobacteriaceae – Laboratory analysis | PCR method

Totally drug-resistant tuberculosis – Abstract

Tuberculosis in relation to HIV – Treatment

Miliary tuberculosis – Diagnosis

Mycobacterium avium-intracellulare infection – Diagnosis

HIV drug resistance – Contemporary treatment issues

Carbapenem-resistant enterobacteriaceae – Laboratory analysis | Disc diffusion method

Antimicrobial resistance – Further research

Antimicrobial resistance – Society and culture | Policies

Mycobacterium avium-intracellulare infection – Diagnosis | HIV infection

Multiple drug resistance – Antiparasitic resistance

Multiple drug resistance – Preventing the emergence of antimicrobial resistance

Miliary tuberculosis – Prognosis

Pneumococcal infection – Prevention

Drug resistance – Treatment

Mycobacterium fortuitum – Treatment

Drug resistance – Metabolic price

Pneumococcal infection – Diagnosis