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AI-based infectious diseases diagnosis in seconds


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.
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5 Kia Ch.
12000 Jerusalem


Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 50 000

Project information

Grant agreement ID: 887845


Ongoing project

  • Start date

    1 November 2019

  • End date

    30 April 2020

Funded under:




  • Overall budget:

    € 71 429

  • EU contribution

    € 50 000

Coordinated by: