Fully automated point-of-care differential diagnosis of acute febrile illness.
Sebastian HinBenjamin Lopez-JimenaMohammed BakheitVanessa KleinSeamus StackCheikh FallAmadou SallKhalid EnanMohamed MustafaLiz GilliesViorel RusuSven GoethelNils PaustRoland ZengerleSieghard FrischmannManfred WeidmannKonstantinos MitsakakisPublished in: PLoS neglected tropical diseases (2021)
The FeverDisk proved to be universally applicable as it successfully detected all different types of pathogens as single or co-infections, while it also managed to define the serotype of un-serotyped dengue samples. Thirty-eight FeverDisks at the two African sites provided 59 assay results, out of which 51 (86.4%) were confirmed with reference assay results. The results provide a promising outlook for future implementation of the platform in larger prospective clinical studies for defining its clinical sensitivity and specificity. The technology aims to provide multi-target diagnosis of the origins of fever, which will help fight lethal diseases and the incessant rise of antimicrobial resistance.
Keyphrases
- antimicrobial resistance
- high throughput
- dengue virus
- zika virus
- liver failure
- primary care
- healthcare
- single cell
- aedes aegypti
- respiratory failure
- machine learning
- deep learning
- drug induced
- quality improvement
- aortic dissection
- urinary tract infection
- escherichia coli
- hepatitis b virus
- intensive care unit
- multidrug resistant
- extracorporeal membrane oxygenation