OHAMR Call for proposals 2026

General Information

• Project title: PRAIM - Predict Resistance with Artificial Intelligence Model
• Type: Project looking for partner
• Organisation: Infectious Diseases Unit IRCCS, Policlinico Sant\'Orsola, Bologna, Italy, department Medical Surgical Science, University of Bologna, Italy
• Country: Italy (IT)
• Career stage: Other.

Research area

• Scientific area(s) of the call:
  1. Topic 2: Develop tools and methods to improve adherence to treatment protocols.
• One Health Setting:

  H - Human Health

• Keywords:

  Gram-negative bloodstream infections; artificial intelligence; antimicrobial resistance;

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

  We are looking for complementary partners with strong clinical, microbiological and implementation expertise in the management of Gram-negative bloodstream infections and antimicrobial resistance. Ideal clinical partners are European hospitals with a high burden of GN-BSI, active antimicrobial stewardship programmes, and the ability to extract routinely collected data from electronic health records and laboratory information systems. Expertise in clinical infectious diseases, clinical microbiology, intensive care and hospital pharmacy is particularly relevant.

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

  The project proposes the implementation and multicentre evaluation of an artificial intelligence (AI) tool to optimize antibiotic therapy in Gram-negative bloodstream infections (GN-BSI), in line with Topic 2 of the OHAMR call “improving adherence to treatment protocols”. The tool is based on an AI model recently developed and validated in a single-centre setting, capable of predicting resistance to fluoroquinolones, third-generation cephalosporins, beta-lactam/beta-lactamase inhibitor combinations and carbapenems, using routinely collected clinical data and species identification by MALDI-TOF1. The model has shown a high ability to reliably rule out carbapenem resistance, thereby minimising the risk of inappropriate therapy while reducing unnecessary use of broad-spectrum antibiotics.

Maddalena Giannella

• Organisation: Infectious Diseases Unit IRCCS, Policlinico Sant\'Orsola, Bologna, Italy, department Medical Surgical Science, University of Bologna, Italy
• Position:
• E-mail: maddalena.giannella@unibo.it