OHAMR Call for proposals 2026

General Information

• Project title: Enabling Actionable AMR Surveillance
• Type: Project looking for partner
• Organisation: SINTEF
• Country: Norway (NO)
• Career stage: Other.

Research area

• Scientific area(s) of the call:
  1. Topic 1: Identify and develop new combination treatments using existing or innovative antimicrobials or antimicrobial with adjunctive treatments to extend drug efficacy and combat resistance.
• One Health Setting:

  H - Human Health

• Keywords:

  data analytics & visualization surveillance systems clinical decision support health informatics

• Brief description of your expertise / expertise you are looking for:

  We want to speak with potential partners with expertise within the following areas: Clinical Microbiology & Infectious Diseases: To ensure correct interpretation of resistance patterns and relevance to patient-level antibiotic selection. Antimicrobial Stewardship: To translate analytics into appropriate prescribing guidance and support responsible use of existing and new antibiotics. Data Engineering & Health Informatics: To extract, standardize, and integrate laboratory data from fragmented and legacy systems. Biostatistics & Epidemiology: To develop robust trend-based metrics and early-warning analytics for emerging resistance. Software Engineering & Data Visualization: To build scalable analytics platforms and clear geographic and temporal visualizations for clinical and public health use. Public Health & Implementation Science: To align analytics with surveillance needs, support rapid response, and ensure adoption in real-world settings.

• Brief description of your project / the project you would like to join:

  This project aims to transform routine laboratory antimicrobial resistance (AMR) data into actionable analytics that support population-level surveillance, rapid response, and improved antibiotic selection for individual patients. While current laboratory systems are effective at producing single test results for clinicians, they are not designed to reveal trends over time, across locations, or within specific sample types. As a result, clinicians often make empiric treatment decisions without clear visibility into local and recent resistance patterns, and emerging resistance can go undetected until it becomes widespread. This project addresses these gaps by enabling systematic extraction, integration, and analysis of laboratory data to identify meaningful trends in pathogens and resistance profiles. By moving beyond static cut-off metrics and incorporating trend-based and contextual indicators, the system will provide early signals of change and deliver locally relevant analytics that help clinicians choose the most appropriate antibiotics for individual patients, while simultaneously strengthening research, surveillance, and rapid public health response. In the coming years, several new antibiotics with novel mechanisms of action are expected to enter clinical practice, increasing both opportunities and risks in antimicrobial therapy. Improved analytics will be essential to guide their appropriate use, monitor emerging resistance and co-resistance early, and support stewardship strategies that preserve the effectiveness of these new treatments.

Mats Blakstad

• Organisation: SINTEF
• Position:
• E-mail: mats.blakstad@sintef.no