Descrizione del progetto
Una soluzione di intelligenza artificiale per contribuire a prevenire le infezioni contratte in ospedale
Ogni anno, quasi 4,1 milioni di europei contraggono infezioni durante la loro permanenza in ospedale. Queste infezioni acquisite in ospedale sono causate da specifiche sottospecie batteriche, la cui identificazione è ostacolata in modo significativo da fattori temporali ed economici. Per affrontare il problema, l’azienda spagnola CLOVER Bioanalytical Software si è avvalsa dell’intelligenza artificiale per sviluppare algoritmi e migliorare ulteriormente un’efficace tecnologia nota come spettrometria di massa a tempo di volo con desorbimento/ionizzazione laser assistito da matrice (MALDI-TOF, Matrix-Assisted Laser Desorption/Ionisation Time-Of-Flight). Il progetto ArtIST, finanziato dall’UE, troverà, svilupperà e commercializzerà soluzioni per identificare in modo rapido ed economico i processi di resistenza dei batteri nelle sottospecie clinicamente rilevanti. Inoltre, condurrà uno studio di fattibilità in preparazione alla convalida clinica e all’ingresso sul mercato.
Obiettivo
Specific bacterial subspecies, often resistant to traditional antibiotics, are the cause of severe problems like Hospital-Acquired Infections and sepsis. Reducing both time and costs for identification of these subspecies, thus diagnosing more efficiently infectious diseases, is crucial for our health systems. Current solutions in the field are based on expensive and time-consuming methods, and the fast, cost-efficient existing technologies, like MALDI-TOF MS, are restricted to the identification of main bacterial species, but are unable to go down to the subspecies level. Clover Biosoft is leveraging the power of modern AI techniques to develop algorithms using MALDI-TOF MS data to successfully classify bacterial subspecies.
Ours is a collaborative project assisted by several first-level public hospitals and cutting-edge scientists from various European universities. Time-to-market is essential, and the market is ripe for our solution. MALDI-TOF MS instruments have become a standard in microbiology laboratories worldwide, allowing a very easy integration with our software. Moreover, the increasing number of patients affected by HAIs and the growing resistance to antibiotics, have raised the public concern, becoming a priority now for public and private health system managers and governments.
Clover Biosoft is the ideal player to take this solution to the market, because of our long experience in the field and our extensive network, including all relevant type of stakeholders, from hospitals to big vendor companies and from researchers to government officials. Our team has the perfect combination of technical prowess, scientific background and business acumen. Our company has obtained solid revenues from its inception. Combining public and private investment, we are confident to take this project to market and become a reference for clinical diagnosis software development, bringing wealth and work to our region.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- medical and health scienceshealth sciencesinfectious diseases
- natural sciencescomputer and information sciencessoftwaresoftware development
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugsantibiotics
- natural scienceschemical sciencesanalytical chemistrymass spectrometry
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistanceantibiotic resistance
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
18016 Granada
Spagna
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.