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Computational health engineering applied to model infectious diseases and antimicrobial resistance spread
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- Gestal, Mónica Cartelle (författare)
- University of Georgia
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- Dedloff, Margaret R. (författare)
- Clarkson University
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- Torres-Sangiao, Eva (författare)
- Lund University,Lunds universitet,Infection Medicine Proteomics,Forskargrupper vid Lunds universitet,LUBIN Lab- Lunds laboratorium för neurokirurgisk hjärnskadeforskning,Lund University Research Groups,LUBIN Lab- Lund Brain Injury laboratory for Neurosurgical research,Complejo Hospitalario Universitario de Santiago
- (creator_code:org_t)
- 2019-06-18
- 2019
- Engelska.
- Ingår i: Applied Sciences (Switzerland). - : MDPI AG. - 2076-3417. ; 9:12
- Forskningsöversikt (refereegranskat)
Abstract
Ämnesord
Stäng
- Infectious diseases are the primary cause of mortality worldwide. The dangers of infectious disease are compounded with antimicrobial resistance, which remains the greatest concern for human health. Although novel approaches are under investigation, the World Health Organization predicts that by 2050, septicaemia caused by antimicrobial resistant bacteria could result in 10 million deaths per year. One of the main challenges in medical microbiology is to develop novel experimental approaches, which enable a better understanding of bacterial infections and antimicrobial resistance. After the introduction of whole genome sequencing, there was a great improvement in bacterial detection and identification, which also enabled the characterization of virulence factors and antimicrobial resistance genes. Today, the use of in silico experiments jointly with computational and machine learning offer an in depth understanding of systems biology, allowing us to use this knowledge for the prevention, prediction, and control of infectious disease. Herein, the aim of this review is to discuss the latest advances in human health engineering and their applicability in the control of infectious diseases. An in-depth knowledge of host-pathogen-protein interactions, combined with a better understanding of a host's immune response and bacterial fitness, are key determinants for halting infectious diseases and antimicrobial resistance dissemination.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Infectious Medicine (hsv//eng)
- NATURVETENSKAP -- Biologi -- Mikrobiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Microbiology (hsv//eng)
Nyckelord
- Antimicrobial resistance
- Health engineering
- Infection disease
- Mathematic models
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- MEDICIN OCH HÄLS ...
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- och Infektionsmedici ...
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- NATURVETENSKAP
- och Biologi
- och Mikrobiologi
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- Lunds universitet
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