Description du projet
Un diagnostic hors laboratoire plus intelligent pour la vaginite
La vaginite fait référence au gonflement, à la démangeaison, à la sensation de brûlure ou à l’infection du vagin pouvant être provoqué par différents microbes tels que les bactéries, les levures ou les champignons. Trouble très fréquent, la vaginite fait souvent l’objet d’erreurs de diagnostic de la part des gynécologues en raison du manque d’outils de diagnostic efficaces. Le projet VagX développe un nouvel outil combinant VagX I (un dispositif de diagnostic pour les cliniques gynécologiques) et VagX II (un kit de test à faire soi-même à domicile). Ce nouveau système de diagnostic reconnaîtra immédiatement la plupart des cas de vaginite, permettant ainsi un traitement plus rapide et plus efficace. Le projet testera la viabilité économique du dispositif en vue de sa commercialisation à l’échelle européenne.
Objectif
Vaginitis is a frequently occurring medical disorder in women associated with substantial morbidity and formerly
undetected complications. It is one of the most common problems in clinical medicine, and it is the reason cited
most often for visits to obstetricians and gynaecologists. Today, there is no point-of-care diagnostic tool that can
diagnose all six possible causes to vaginitis correctly, rapidly and in a comprehensive manner. It is estimated to
be misdiagnosed in around 50% of first non-expert physicians' clinic visits and about 30% of women with vaginal
complaints remain undiagnosed despite extensive testing. GynTools has developed a unique (patent pending)
vaginal discharge collection tool, composed by two products: (1) VagX I™ a rapid point of care diagnostic device
for Gynaecology clinics and (2) VagX II™, a Vaginitis self-test kit for home use.
VagX is the first diagnostic system that can diagnose all six Vaginitis conditions; does not require special skills or
training and it is faster and cheaper from any current alternative. VagX system provides a comprehensive point of
care vaginitis diagnostic tool for gynaecologists and primary caregivers that are not experts in vulvovaginal
disorders. Leveraging AI and Deep Machine Learning, VagX allows any caregiver to correctly diagnose all six
vaginitis conditions, within minutes. GynTools seeks funding to conduct a feasibility study to prove technical and
commercial viability, conducting an analytical exercise to position the product. The objective is to test the
economic viability of the device among a larger pool of potential clients (user-acceptance), and to assess if the
chosen commercialisation approach will be conducive of the projected growth on the European level.
Champ scientifique
- humanitieshistory and archaeologyhistory
- social scienceseconomics and businessbusiness and managementbusiness models
- social sciencessociologygovernancecrisis management
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- medical and health sciencesclinical medicinegynaecology
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
9112001 JERUSALEM
Israël
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.