Description du projet
Améliorer la santé des implants dentaires grâce à l’analyse du microbiome
La pose d’implants dentaires connaît un essor considérable. Ces implants sont toutefois sensibles aux maladies associées aux microbiomes et aux biofilms, qui peuvent provoquer une péri-implantite, une infection grave entraînant la perte de l’implant. Les outils permettant d’évaluer la gravité de la maladie font cruellement défaut. PreBiomics, dont le test de médecine de précision caractérise la composition microbienne du biofilm de la plaque autour de l’implant, a identifié des bactéries spécifiques capables d’anticiper la gravité et la progression de l’infection. Le projet PreBiomicsPMT, financé par l’UE, développera un test faisant appel à la métagénomique et à un algorithme d’intelligence artificielle pour permettre le suivi, le diagnostic et des recommandations de traitement pour les patients, sur la base de la composition bactérienne du microbiome de leur plaque dentaire. Le projet va également automatiser le flux de travail et élaborer une base de données pour le développement d’un panel de résistance aux antibiotiques et d’un système d’aide à la décision pour les dentistes.
Objectif
About 20M dental implants are performed globally per year. Implant market, valued at €3.6B in 2020, is growing at a CAGR of 11%. Unfortunately, microbiome-biofilm-associated diseases can affect dental implants, compromising oral and systemic health. More than 50% of implant patients develop mucositis, an inflammation of the soft tissues, which may lead to peri-implantitis, a severe infection affecting soft and hard tissues that can lead to implant loss. Currently, there are no reliable tools to assess disease severity and risk of disease progression; and the dentist can only prescribe empirical therapies without knowing the composition of the triggering peri-implant plaque microbiome. At PreBiomics, we developed a precision-medicine test that characterises the microbial composition of the plaque biofilm collected in the area surrounding the implant. In 10 years of research, we have shown that specific bacteria's presence is key to predicting the infection's severity and progression. PreBiomicsPMT will develop a test using metagenomics, and an AI algorithm, which will enable the implementation of monitoring and diagnosis and provide treatment recommendations for each patient based on the bacterial composition of their plaque microbiome. Based on the results of the ERC POCs PB3P, this EIC-Transition project aims at automating the workflow using a robotic solution to reduce the costs of the service and speed up the results, building an extensive database that will be used to create an antibiotic resistance panel and further develop our decision support system (DSS) for dentists, finally, conducting a validation study to prove the predictive power of our DSS. Alongside the technical development, we will define the IPR management plan to protect the knowledge we continuously generate, study in-depth the dental implants market and the needs and expectations of our customers and investors and elaborate a robust business plan to allow proper exploitation of our product.
Champ scientifique
- natural sciencescomputer and information sciencesdatabases
- medical and health sciencesclinical medicineodontologydental implantology
- natural sciencesbiological sciencesmicrobiologybacteriology
- medical and health sciencesmedical biotechnologyimplants
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistanceantibiotic resistance
Mots‑clés
Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Régime de financement
HORIZON-EIC - HORIZON EIC GrantsCoordinateur
38123 TRENTO
Italie
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.