Development of AI for AMR and Microbiota Research

1) Large Language Models for Microbiota & 2) AI peptide modelling in AMR

1) Developing improved diagnostic and treatment outcome models
2) Developing potential markers for AMR peptide markers

  • Microbial diagnostics
  • Infection prevention
  • Antimicrobial stewardship
  • Antimicrobial compound/strategy
  • Removal antibiotics/bacteria

  • Bacteria
  • Viruses
  • Fungi
  • Yeasts
  • Parasites

  • Human
  • Veterinary
  • AgriFood
  • Environmental
  • Other

Development stage:
  • Research
  • Development
  • Validation
  • Market entry
  • Marketed product

  • Academia
  • Company
  • Institute
  • NGO
  • Government

  • Co-develop
  • Joint Venture
  • License
  • Outsource
  • Sell

Funding organisation:
  • CARB-X
  • FIND
  • OTHER / NA

Infectious disease area:
  • UTI
  • STI
  • BSI
  • RTI
  • GII
  • SSTI
  • CNSI
  • IAI
  • SSI

Geographic origin:
  • Eurasia
  • North America
  • South America
  • Africa
  • Oceania

Open to collaborative projects in AMR AI bioinformatics or ‘wet’ work.

As a university medical center, Erasmus MC has a great responsibility to help solve social issues related to health. The recently adopted research strategy 2023-2029 ‘Focus on Societal Challenges as driver on Research’, clarifies the direction we want to take as a scientific organization at the center of society. The strategy, which is in line with Erasmus MC’s mission and core values, describes how we can increase the impact of our research and strategically deploy the limited resources available for scientific research. And how we, together with our stakeholders, can effectively contribute to solutions, now and in the future.

A wide range of AMR in vitro and in vivo models available. Also an online bioninformatics WGS gene prediction Benchmarking tool in Galaxy.

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