Descripción del proyecto
Inteligencia artificial para el diagnóstico rápido de enfermedades infecciosas
Las enfermedades infecciosas no se identifican de forma fiable por la falta de capacidad de diagnóstico. Cada vez hay más agentes infecciosos que no se logran identificar de forma sencilla y eficaz sin análisis de laboratorio. En consecuencia, los médicos valoran los síntomas y suelen recetar antibióticos. Sin embargo, este método no detecta si la enfermedad está causada por bacterias o virus, lo cual provoca la prescripción de fármacos inadecuados. El proyecto EDAS HEALTHCARE, financiado con fondos europeos, propone un sistema de diagnóstico de enfermedades infecciosas basado en datos que es el resultado de cinco años de investigación. Esta tecnología avanzada se basa en una combinación de algoritmos de aprendizaje automático y datos masivos, y permite el diagnóstico de patógenos en segundos y a un coste inferior que los análisis de laboratorio.
Objetivo
Today, reliable diagnosis of infectious diseases is not available at the Point-Of-Care, when most needed, resulting in Antimicrobial Resistance, High Treatment Costs and Patients’ Dissatisfaction. A growing number of infectious agents – such as pneumonia, tuberculosis, and salmonellosis – with every day are becoming harder to identify and treat correctly without laboratory tests, is the main cause for a massive scale of misuse and overuse of antibiotics. Approximately 30% to 50% of antibiotic use in humans is inappropriate or even unnecessary. Due to lack of diagnosis available (Time-consuming, cost, absence of infrastructure) physicians commonly prescribe antibiotics based on symptoms. However, this approach does not allow to distinguish if the disease is caused by bacteria or viruses on which drug will work and which won't. At EDAS HEALTHCARE, patent approved technology, resulting 5 years of research, developed a data-driven infectious disease diagnosis system that enables the identification of pathogens in real-time. The use of epidemiology and location-based diagnosis combined with big-data & machine learning algorithms results in over 85% accuracy (a case study results). At a fraction of the cost of laboratory tests EDAS Healthcare can provide decision support system to all physicians at any primary care service upon the first patient encounter with the ER or GP or Telemedicine, and help instantly predict the causative agent of infectious diseases (9 different viruses and 5 different bacteria to date). Targeting the infectious disease diagnostic market worth €6Bn p.a. we offer a solution for hospitals ER, Telemedicine, Homecare, and surveillance agencies. Some of them already confirmed their interest in using our service. Within the Phase 1 project we aim at preparing plans for a wide-scale clinical trials, revise our IPR protection strategy and refine our current business model.
Ámbito científico
- medical and health scienceshealth sciencespublic healthepidemiology
- medical and health sciencesclinical medicinepneumologytuberculosis
- medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugsantibiotics
- medical and health sciencesbasic medicinepharmacology and pharmacydrug resistanceantibiotic resistance
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
12000 JERUSALEM
Israel
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.