Address
Imperial College London
Exhibition Road, London
London, SW7 2AZ
United Kingdom
Contact
William Bolton+447711377482
william.bolton@imperial.ac.uk
Website
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AI-IVOS
Prevents antimicrobial IV to oral switch decisions being missed which can reduce patients’ length of stay, their chance of hospital acquired infections and antimicrobial resistance.
For any patient who is on IV antibiotics the model takes the patients routinely collected clinical parameters during their stay as input features and outputs on each day if they are suitable for switching to oral treatment or not. This can be used by healthcare professionals during their usual daily wards rounds to assess if a patients antibiotic treatment should be changed or not.
- Antimicrobial stewardship
- Infection prevention
- Microbial diagnostics
- Antimicrobial compound/strategy
- Removal antibiotics/bacteria
Microorganisms:
- Bacteria
- Viruses
- Fungi
- Yeasts
- Parasites
Application:
- Human
- Veterinary
- AgriFood
- Environmental
- Other
Development stage:
- Development
- Validation
- Research
- Market entry
- Marketed product
- Academia
- Company
- Institute
- NGO
- Government
Partnering:
- License
- Co-develop
- Outsource
- Joint Venture
- Sell
Funding organisation:
- CARB-X
- FIND
- GARDP
- REPAIR
- OTHER / NA
Infectious disease area:
- UTI
- STI
- BSI
- RTI
- GII
- SSTI
- CNSI
- IAI
- SSI
Geographic origin:
- Eurasia
- North America
- South America
- Africa
- Oceania
We are open to having discussions with any potential partner who is interested in our AI technology for antimicrobial stewardship. Hospital institutions are of great interest for future prospective studies and trial implementation.
Imperial College London
AI for predicting the risk of infection, side effects, and readmission as well as to support antibiotic cessation decisions.
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