The earliest evidence suggested that obese patients, who often present Metabolic Associated Fatty Liver Disease (MAFLD), are even more vulnerable at severe presentation of COVID-19. On the one hand, the e®ect of compromised liver function, as a result of MAFLD, on the severity of COVID-19 illness [1] has not been well studied yet. We aim to systematize the info and data of patients with fatty liver and evaluate the severity of COVID-19 in this cohort. On the other hand, most likely, these patients will receive drugs necessary for the treatment of acute respiratory syndrome, antiviral agents and other drugs to treat systemic in°ammation, combat bacterial and fungal superinfections. Among these pharmaceuticals can produce some drug-induced liver injury (DILI) [2]. The mechanisms of DILI are not always understood. There is a clear need for a deeper understanding of interplay between MAFLD and severity of COVID-19. For more reliable and accurate results, we plan to create a partnership and combine the e®orts of medical experts and the specialists in the ¯eld of medical informatics. The overall research objective is to elucidate relationship between fatty liver and COVID-19 by creating a data warehouse of MAFLD cases, based on a single ontology (protocol), and to provide intelligent information tool for quantifying and assessing the reciprocation of compromised liver function as a result of MAFLD and the severity of COVID-19 illness, and vice versa, COVID19 treatment and MAFLD progression, using our existing experience [3]. Relevance of the assumed overall objective is enormous, as we have witnessed the wide spread of MAFLD, which predominantly a®ect people of working age, having a signi¯cant negative impact on social and economic development. COVID-19 pandemic only made things worse. The research for this paper have been supported by the COST Action CA17112 \Prospective European Drug-Induced Liver Injury Network" and the project 20.80009.5007.22 \Intelligent information systems for solving ill-structured problems, processing knowledge and big data" in the framework of the State Program.