We use our diverse expertise to create new knowledge in the fields of social and health sciences. To get more information about each project or to join with any of the projects, contact us.
| Histopathologic Cancer Detection |
| Contact us for detail. |
| Personalized Medicine |
| Precision medicine is the key to providing the right treatment for the right person at the right time. we believe it holds plenty of promise for the evolution of the health-care system rather than revolutionize it. As stated in the European Council Conclusion on personalised medicine for patients; multi-Omics models use characterization of individuals’ phenotype and genotypes or tailoring the right therapeutic strategy for the right person at the right time. We can also use these models to determine the predisposition to disease and/or to deliver timely and targeted prevention. Conovita’s current projects include: Multi-Omics approach in the disease in early life Multi-Omics approach in the rare disease Multi-Omics approach in the respiratory disease Multi-Omics approach in understanding border between infectious and non-infectious diseases Multi-Omics approach in understanding the molecular mechanisms that underlie aging Applying the concept of Fuzzy logics in the multi-Omics approach for personalized medicine Contact us for detail. |
| COVID-19 treatment: |
| Possible effect of epinephrine in minimizing COVID-19 severity: a review. |
| Coronavirus disease 2019 (COVID-19) shows a wide range of severity, ranging from an asymptomatic presentation to a severe illness requiring intensive care unit admission. Identification of a strategy to manage the severity of this disease will not only help to reduce its case fatality but also help to remove some of the burdens from the already overwhelmed health care systems. While successful management of symptoms, in general, is important, identifying measures to modify the severity of the illness is a key factor in the fight against this pandemic. Conovita presents a short literature review to suggest a new treatment modality for COVID-19. COVID-19 is less severe and rarely fatal in children than in adults, which could be caused by greater fluctuations of plasma epinephrine in children. Our literature survey endorses this hypothesis according to both the epidemiological and immunological findings. In conclusion, the application of epinephrine pulses with a specific amplitude may be considered an intervention to minimize the severity of COVID-19. Read more |
| COVID-19 policy making |
| Temporal variations of COVID-19: an epidemiological discussion with a practical application |
| In this project, Conovita tries to characterize the temporal variation of the COVID-19 infection and mortality as a possible tool to monitor and control the spread of the disease. Scientists in Conovitaanalyze cyclicity and synchronicity in the COVID-19 cases and deaths time-series using Fourier transform, its inverse method, and statistical treatments. They use Epidemiological indices (e.g., case fatality rate) to quantify the observations on the time-series. Studies in Conovita show that there are both short-term and long-term variations in the COVID-19 time-series. The short cycles are 7 days and synchronized among all countries. This periodicity is conveniently believed to be caused by weekly cycles in community social, combined with diagnostic and reporting cycles. It could also be related to virus-host-community dynamics. In conclusion, the observed synchronized weekly cycles could serve as a community defense by providing a social distancing in time. The effect of such temporal distancing could be enhanced if combined with spatial social distancing. An integrated spatiotemporal distancing is therefore recommended to be considered in the infection control strategies, taking into account the quiescent and stormy intervals of the disease. Read more |
| Environmental risk assessment |
| Application of Fuzzy logic in environmental risk assessment: some thoughts on Fuzzy Sets |
| The fuzzy set of a concept is defined by a distribution function of the degree of belief (DoB) in a qualitative parameter (the concept), over a range of variation in a quantitative or less-qualitative parameter (the scale). The concept may be determined by different scaling parameters and each parameter on its own is not necessarily unique. So the form of a fuzzy set depends almost entirely on the scale selected. In the environmental field, regulators, health authorities, epidemiologists, politicians, environmentalists, engineers, and the general public often define a concept, such as contamination, in different ways. The only term which is more or less unequivocally understood by all interested groups is the final “risk” often associated with a dollar value. Proper definition and scaling of fuzzy sets can provide a common language through which experts from different disciplines can communicate through the entire process of risk assessment. Uncertainty in the input information propagates (but is neither magnified nor dampened) in a fuzzy way, so that the output remains fuzzy and can then be translated into either quantitative risk values or qualitative linguistic expressions. Read more |