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

  •   03 December 2025

    Artificial Intelligence-Integrated Biosensors for Antimicrobial Resistance Detection and Surveillance: A Review and Future Perspectives for Global Biosecurity

    The review highlights that traditional methods for detecting antimicrobial resistance (AMR) — relying on culture and lab diagnostics — are too slow, expensive and often inaccessible, limiting effective surveillance worldwide. Instead, it argues that new biosensor technologies (electrochemical, optical, piezoelectric, paper-based and nanomaterial-based) combined with artificial intelligence (AI) and machine-learning can revolutionise AMR detection by […]

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  •   28 November 2025

    Beyond resistance: alternative innovation models for global access and stewardship of new antibiotics

    The development of new antibiotics—together with ensuring equitable access and responsible stewardship—is essential to combating AMR. To assess how today’s antibiotic innovation ecosystem supports this goal, researchers reviewed the literature, built a database of 211 antibiotic developers, and interviewed 10 stakeholders. They found that while some companies still follow the traditional market-driven model, most now […]

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  •   27 November 2025

    The Role of Machine Learning in Addressing Antibiotic Resistance: A New Era in Infectious Disease Control

    Antimicrobial resistance (AMR) is rising, and traditional methods to address it are slow and expensive, but artificial intelligence (AI) is transforming the field by rapidly analysing vast chemical and biological data to discover new antimicrobial compounds. AI can identify resistance trends, accelerate the development of effective new antibiotics, support faster diagnosis, and help predict emerging […]

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