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AI-based infectious diseases diagnosis in seconds

Project description

AI for rapid infectious disease diagnosis

Infectious diseases are not reliably identified due to a lack of diagnosis capacity. An increasing number of infectious agents are not easily and effectively identified without laboratory tests. As a result, physicians take into consideration the symptoms and tend to prescribe antibiotics. However, such a method does not detect whether the cause of the disease relies on bacteria or viruses, leading to inappropriate drug prescribing. The EU-funded EDAS HEALTHCARE project proposes a data-driven infectious disease diagnosis system that is the result of 5 years of research. This advanced technology is based on a combination of Big Data and machine learning algorithms and permits the diagnosis of pathogens in seconds and at a lower cost than laboratory tests.

Field of science

  • /medical and health sciences/health sciences/public and environmental health
  • /natural sciences/biological sciences/microbiology/virology
  • /natural sciences/biological sciences/microbiology/bacteriology
  • /medical and health sciences/basic medicine/pharmacology and pharmacy/drug resistance/antibiotic resistance
  • /medical and health sciences/health sciences/infectious disease/RNA virus/coronavirus
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /social sciences/economics and business/business and management/commerce

Call for proposal

See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1


5 Kia Ch.
12000 Jerusalem
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000