Annotations of Virus Data for Knowledge Enrichment

Data analytics in healthcare informatics has grown rapidly due to the greater influx of multimodal data. Studying virus related diseases uses analysis and comparison of heterogeneous data, often related to geographical patient position and hospital services. In this context, cooperation among different data sources as geographical dislocated hospitals, is relevant to prevent diseases diffusion. At the same time, annotation and enriching data may be used to support cooperation, knowledge enric...

DeLaBE: A Deep Learning architecture for Bio-images enhancing

In order to improve bioimages quality and improve diagnosis reliability, physicians need to use injectable contrast medium. Recently, a lot of studies reported the toxicity of these agents such as the correlation between repeated administration of Gadolinium MRI examinations and nephrogenic systemic fibrosis. The direction is to define innovative techniques able to improve bioimages quality, minimizing the quantity of contrast medium, or define methods able to enhance images. Latter can be pe...

On the identification of Pols in glucosimeter data

Diabetes is a chronic disease affecting a significant percentage (about 10%) of the population characterized by the presence of high level of glucose in the blood (and thus in tissues). Diabetes occurs when the pancreas does not produce enough insulin (type 1 diabetes) or when the body cannot effectively use the insulin it produces (type 2 diabetes). Monitoring the glucose blood level and assessing the insulin dosage is one of the main target for clinicians. To this end, identifying Pattern o...

Glucose Metabolism Evaluation by using cardiac PET images