Smart Innovation

Antimicrobial resistance (AMR)

AMR develops when bacteria, fungi or viruses are exposed to antibiotics, antifungals or antivirals. As a result, the antimicrobials become ineffective and infections may persist. In addition, medical interventions including surgery, chemotherapy and stem cell therapy may become impossible. 
AMR is considered the biggest global threat of Health and Food Safety.

AMR Insights

For Researchers and Entrepreneurs who wish to investigate, develop and commercialize novel vaccines, diagnostics and antimicrobials to prevent Antimicrobial resistance, AMR Insights offers selected, global information and data, specific education and extensive networking and partnering opportunities. 

AMR Insights is for:

  • Researchers at Universities and University Medical Centers
  • Researchers at Research Institutes
  • R&D professionals in Pharma, Biopharma and Diagnostics companies
  • Entrepreneurs in start-up’s and spin off companies
  • Innovators, Venture Capitalists.

Latest Topics

  •   23 April 2024

    An effective antibiofilm strategy based on bacteriophages armed with silver nanoparticles

    Antibiotic resistance in pathogenic bacteria is a major issue in modern medicine. Using lytic bacteriophages and metal nanoparticles as therapeutic strategies is gaining attention. A study found that T7 phages armed with silver nanoparticles showed greater efficacy in controlling bacterial biofilms compared to phages or nanoparticles alone. The combination of lytic phages and phage-bound silver […]

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  •   20 April 2024

    Stewardship Prompts to Improve Antibiotic Selection for Urinary Tract Infection: The INSPIRE Randomized Clinical Trial

    A study in 59 US community hospitals compared the effect of computerized provider order entry (CPOE) prompts providing patient- and pathogen-specific multidrug-resistant organisms (MDROs) risk estimates on antibiotic selection during the first 3 hospital days of UTI treatment in noncritically ill adults. The primary outcome was empiric extended-spectrum antibiotic days of therapy, secondary outcomes included […]

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  •   20 April 2024

    MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning

    Antimicrobial resistance (AMR) is a global health issue that requires early and effective treatments. Mass Spectrometry (MS) is widely used to identify bacterial species and detect AMR. However, deep learning analysis of AMR is still relatively new, with most models relying on manual preprocessing techniques. This study proposes a deep neural network, MSDeepAMR, to learn […]

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