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
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23 April 2026IOI launches new antifungal drug discovery programme
The Ineos Oxford Institute for Antimicrobial Research (IOI) has launched a new antifungal drug discovery programme to address the growing global burden of fungal infections and rising antifungal resistance, which contributes to millions of deaths annually. The initiative aims to overcome the limited number of existing antifungal drug classes by building a full discovery pipeline—from […]
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23 April 2026Feature Selection and SHAP-Based Interpretability in ML Models for AMR Prediction in Klebsiella Pneumoniae
Antimicrobial resistance (AMR) compromises the body’s ability to fight infections and poses significant risks for patients receiving medical care. The increasing spread of resistant organisms—including Staphylococcus aureus, Enterococcus spp., Klebsiella pneumoniae, and Pseudomonas aeruginosa—is a major clinical concern. Advances in the use of comprehensive medical datasets and predictive analytics now support the development of evidence-driven […]
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20 April 2026The application of artificial intelligence in surveillance and control for antimicrobial resistance in hospital-acquired infections
This narrative review highlights how artificial intelligence (AI) can significantly enhance surveillance and control of antimicrobial resistance (AMR) in hospital-acquired infections (HAIs), addressing the limitations of traditional, often fragmented and reactive systems. AI applications—including machine learning models using microbiology data, electronic health records, and hospital workflows—can predict the emergence and spread of resistant pathogens, enable […]
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