Could you give us a brief description of your start-up and explain the reasons that led you to establish it up?
U-Care Medical was created with the aim to develop a solution for Acute Kidney Failure (AKI) episodes, among hospitalized patients. Our medical device is able to collect the patient’s diuresis data automatically and continuously, thanks to innovative sensors that analyze data through sophisticated artificial intelligence and machine learning algorithms in order to predict the deterioration of renal function 12 hours before its occurence. In this way the doctor is able to customize the patient’s pharmacological treatment avoiding episodes of renal failure. U-Care Medical brings benefits to all stakeholders of the hospital ecosystem: reduction patient mortality and improvement of their quality of life, increase in the quality of hospital service and strong reduction of costs for the health system. Therefore, U-Care Medical’s mission is to save lives by transforming kidney treatment through technological innovation.
Renal function monitoring is vital for patients lying in intensive care units. What are the distinctive elements of your process in relation to what has already been used?
U-Care Medical brings a great improvement over the status quo of the renal function treatment process. Doctors currently lack of reliable tools for predicting kidney damage. To date the healthcare staff manually collects the patient’s diuresis data, every 4 hours, reporting it in the patient’s file. The doctor thus, bases his diagnosis by observing the progress of diuresis over time through this not continuous and inaccurate method. This often leads to a late diagnosis formulation of the pathology, when it is already going on for a while or in advanced conditions. U-Care Medical is able to provide highly accurate and precise data continuously and automatically, warning the doctor whether to intervene to prevent kidney damage. In this way U-Care Medical is able to enhance the clinical kidney data supporting doctors in customizing the patient’s therapeutic path.