Abstract: A system and method of predicting a medical diagnosis is disclosed. The method includes receiving claims data, clinical data and demographic data and detecting a prediction target for the diagnosis. If present, inputting the prediction indicator and the clinical data into a machine learning model to predict diagnosis risk, to create a diagnosis risk score; determining a care seeking propensity score, from the demographic data; weighting the diagnosis risk score by the care seeking propensity score to create a weighted diagnosis risk score; determining whether the weighted diagnosis risk score indicates a likelihood of the medical diagnosis; and, in response, transmitting a recommendation for further evaluation. The machine learning model may be trained using historical claims data, clinical data, and demographic data and may be trained to detect correlation between medical diagnosis signals identified from the training data, and a positive result from a screening mechanism the medical diagnosis.

Abstract: The present disclosure discloses an anti-reflection coating and a method of forming the same. According to one embodiment of the present disclosure, the anti-reflection coating includes a first layer positioned on a substrate to be spaced apart from the substrate by a first distance and a second layer positioned on the first layer to be spaced apart from the first layer by a second distance. In this case, the first and second layers are a metamaterial forming a structural double layer and are realized as an anomalous dispersive medium that does not absorb incident light. The structural double layer may realize spatiotemporal dispersion that varies depending on an incidence angle using the nonlocality of the electromagnetic wave reaction of incident light.

Abstract: The present disclosure discloses an anti-reflection coating and a method of forming the same. According to one embodiment of the present disclosure, the anti-reflection coating includes a first layer positioned on a substrate to be spaced apart from the substrate by a first distance and a second layer positioned on the first layer to be spaced apart from the first layer by a second distance. In this case, the first and second layers are a metamaterial forming a structural double layer and are realized as an anomalous dispersive medium that does not absorb incident light. The structural double layer may realize spatiotemporal dispersion that varies depending on an incidence angle using the nonlocality of the electromagnetic wave reaction of incident light.