695 research outputs found
INTRODUCTION OF THE BETA-ISOZYME OF PROTEIN KINASE-C ACCELERATES INDUCED-DIFFERENTIATION OF MURINE ERYTHROLEUKEMIA-CELLS
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A state of the art of digital twin and simulation supported by data mining in the healthcare sector
No full textHealthcare and more precisely private hospitals are critical and complex environments where making appropriate decisions is vital. For this reason, they are widely studied in many fields. This paper aims to provide the current state of the art of Digital Twin and/or Simulation involved in Decision Support System (DSS) whose data are processed through Data Mining techniques applied in the healthcare sector. In this view, the authors' research has been based on the following keywords: Healthcare, Hospital, Digital Twin, Simulation, Data Mining and Decision Support System. Doing so, it has been possible to gather 13 papers which have been carefully studied
Semi-Automatic Segmentation of Multiple Sclerosis Lesion in 4D Modality
No full textThe automatic and computerized recognition of Regions of Interest (ROI) is a crucial step in the process and analysis of medical images. The reasons are many and include the increase of available medical image data, the wide variety of devices and methods for image acquisition and the need to provide mechanisms making the analysis more accurate and the clinicians’ job faster. Within the study on multiple sclerosis, the goal is the recognition of the
damaged brain areas by processing images captured through magnetic resonance imaging. In this context, the proposed work is a study on the relationship between brain images obtained by magnetic resonance imaging, using different types of acquisitions. The goal is to understand whether it is somehow possible to identify the different regions of the brain, through a process of segmentation, using a method which allows the user’s independence. The employed volumes are acquired in three different modalities T1-weighted, T2-weighted, and PD for synthetic database; T1-weighted, T2-weighted and FLAIR for real database. The purpose of this paper is to provide the doctor with a tool helping with diagnosis and detecting the possible areas of doubt. Two databases were taken into account, a synthetic one and a real one, and for the synthetic database the parameters of the confusion matrix have been calculated
LEUKAEMJA-ASSOCIATED EOSINOPHILIC FOLLICULITIS (OFUJI'S DISEASE)
No full textBackground Ofuji's disease is an eosinophilic dermatosis mostly affecting male subjects. It is characterized by the appearance of follicular papulopustolosis, at times on an erythematous base, which tend to form an annular configuration. Patients and methods Two cases are described: the first is a 45-year-old man affected by acute myeloid leukaemia and Ofuji's disease; the second is a 61-year-old man affected by chronic lymphatic leukaemia and Ofuji's disease. Culture tests were negative in both cases. In both patients no hypereosinophilia was found. Conclusions The simultaneous presence of the two pathologies in these patients can only give rise to hypothesis. In the first case it could be attributed to interleukin (IL)-5, which causes both eosinophilic hyperproduction and blast differentiation. In the second case the hypersecretion of intercellular adhesion molecule type 1 (ICAM-1) in Ofuji's disease could be attributed to a modified transcriptional gene belonging to the class of immunoglobulin codifying genes located on the altered chromosomes in a certain percentage of leukaemic patients
Nuclei, Chromatin and water: Alternations and Mechanisms for Chemically induced Carcinogenesis
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