Medial EarlySign’s has developed a process for predicting which sufferers of diabetes will develop kidney dysfunction within 12-months, using artificial intelligence (AI) machine learning. The Israeli health start-up carried out a clinical data study which identified at-risk patients by analysing electronic health records such as laboratory tests, medication, demographics and diagnostic codes. The algorithm identified up to 40 percent of patients who would go on to develop kidney damage within a year - 25% more patients than clinical tools and judgement would have identified. This can help reduce the likelihood for diabetes-related end-stage renal disease (ESRD).” Approximately 400 million people worldwide suffer from diabetes, according to the Israel National Council of Diabetes and figures.
Medial EarlySign’s has developed a process for predicting which sufferers of diabetes will develop kidney dysfunction within 12-months, using artificial intelligence (AI) machine learning. The Israeli health start-up carried out a clinical data study which identified at-risk patients by analysing electronic health records such as laboratory tests, medication, demographics and diagnostic codes. The algorithm identified up to 40 percent of patients who would go on to develop kidney damage within a year - 25% more patients than clinical tools and judgement would have identified. Approximately 400 million people worldwide suffer from diabetes, according to the Israel National Council of Diabetes and figures.