In March 2020, The World Health Organization (WHO) announced the pandemic disease caused by SARS-CoV-2 (COVID-19) and brought measures in order to interrupt the spread of SARS-CoV2 worldwide. Understanding the transmission dynamics of infectious diseases in populations, regions and countries will contribute to better approaches to reducing the spread of these diseases.
COVIDAI aims to analyse many factors influencing COVID-19 development in humans, including genetical, blood markers, geographical position, as well as medical Roentgen images. His unique AI tool provides a set of solutions for COVID-19 development both in specific patients (personalised model), as well as on the level of region (epidemiological model).
COVIDAI tool would help medical experts to decide whether the patent will be subjected to further analysis and prescribe adequate therapy. Predictive models based on machine learning can provide useful data in terms of prediction of epidemiological events, which can save time for timely and optimal response of both the health system and the society.
Main activities performed within the COVIDAI project include development of two models:
- Personalized AI model for COVID-19 prediction (monitoring of patient’s condition and prediction of disease progress in time)
- Epidemiological model for COVID-19 (monitoring of number of people susceptible/exposed/infected/dead/recovered from COVID-19)