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Träfflista för sökning "WFRF:(Strand Mattias) srt2:(2005-2009)"

Sökning: WFRF:(Strand Mattias) > (2005-2009)

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2.
  • Löfström, Tuve, et al. (författare)
  • Benefits of Relating the Retail Domain to Information Fusion
  • 2006
  • Ingår i: 9th International Conference on Information Fusion. - : IEEE. - 9781424409532
  • Konferensbidrag (refereegranskat)abstract
    • In this paper a mapping between retail concepts and the JDL model is proposed. More specifically, the benefits of using solutions to military problems as inspiration to retail specific problems are discussed. The somewhat surprising conclusion is that there are several similarities between the military and retail domains, and that these similarities potentially could be exploited. A few examples of retail problems that could benefit from theories and techniques commonly used in the Information Fusion community are given. All examples are taken from recently started or planned projects within the Information Fusion research program at the University of Skövde, Sweden.
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3.
  • Nickel, Mattias, et al. (författare)
  • Development and evaluation of a pharmacokinetic model for prediction of radioimmunotherapy based on pretherapy data.
  • 2009
  • Ingår i: Cancer Biotherapy & Radiopharmaceuticals. - : Mary Ann Liebert Inc. - 1557-8852 .- 1084-9785. ; 24:1, s. 111-121
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this work was to develop a pharmacokinetic model for the analysis of the pharmacokinetics of (111)Inlabeled monoclonal antibodies (mAbs) in B-cell lymphoma patients and to evaluate the model's ability to predict a subsequent radioimmunotherapy by (90)Y-labeled mAbs. Data from quantified scintillation camera images and blood samples were used to fit a compartment model. The modeling included two steps: 1) a two-compartment model describing the total-body kinetics for the estimation of a set of global parameters and 2) a multicompartment model for estimating the model parameters for organs. In both steps, a correction for radiochemical impurity in the form of (111)In-DTPA (diethylene triamine pentaacetic acid) was included. The model was found to describe all patient data with good accuracy. From the model, the time-activity data of all organs could be separated into extravascular and vascular components, where the estimates of the regional vascular volumes were found to be in close agreement with literature data. A significant improvement of the model fit to total-body activity data was obtained by correcting for radiochemical impurity. The therapy kinetics area under the curves (AUCs) predicted from pretherapy data were in good agreement with the measured therapy AUCs. The good correlation between the model estimates and measured data, the accurate prediction of the therapy kinetics, and the good estimates of regional vascular volumes demonstrates the reliability of the model. These findings also indicate that the model can be useful for individual optimization of the amount of activity to be administered with respect to patient dosimetry.
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  • Sjögreen Gleisner, Katarina, et al. (författare)
  • Parametric images of antibody pharmacokinetics based on serial quantitative whole-body imaging and blood sampling
  • 2007
  • Ingår i: Journal of Nuclear Medicine. - : Society of Nuclear Medicine. - 0161-5505. ; 48:8, s. 1369-1378
  • Tidskriftsartikel (refereegranskat)abstract
    • We present a method for pharmacokinetic modeling of distributions of In-111-labeled monoclonal antibodies (mAbs) on individual pixels of planar scintillation-camera images. Methods: The method is applied to 2 sets of clinical whole-body images, each consisting of 6 consecutive images acquired over a week. Quantification is performed on a pixel basis, yielding images in units of Bq/pixel. The images acquired on the different occasions are registered using a nonrigid method, and for each pixel location a time-activity curve is obtained for which kinetic modeling is performed. The In-111-mAb is assumed to be located in either the vascular or the extravascular space. The vascular content is assumed to follow the global blood kinetics as determined from blood samples, together with a model parameter alpha that describes the fraction of the whole-body blood volume present in the particular pixel. The rate of change of the extravascular compartment is described by a linear 1-tissue-compartment model with 2 rate constants, K-1' and k(2), reflecting extravasation and washout, respectively. The model is optimized for each pixel position with regard to the values of the 3 parameters (alpha, K-1', and k(2)), resulting in 3 parametric images. From these, images of the cumulated activity in vascular and extravascular spaces are calculated, as is an image of the rate-constants ratio, which is closely related to the volume of distribution. Results: The resulting parametric images are analyzed in terms of the appearance of the time-activity curves at various locations. Results also include interpretation of the parametric images in their clinical context, and the location of regions that exhibit high extravasation and a low washout rate is compared with confirmed malignant sites. Conclusion: Parametric imaging allows the study and analysis of the spatial and temporal distributions of mAbs simultaneously. Parametric imaging enhances regions where the pharmacokinetics differ from the surrounding tissue and provides a tool to detect and locate unexpected kinetic behavior, which is sometimes characteristic of malignant tissue. For dosimetry in radionuclide therapy, parametric imaging offers a less biased means of analyzing serial mAb images than traditional region-of-interest-based analysis.
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5.
  • Strand, Mattias (författare)
  • External Data Incorporation into Data Warehouses
  • 2005
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Most organizations are exposed to increasing competition and must be able to orient themselves in their environment. Therefore, they need comprehensive systems that are able to present a holistic view of the organization and its business. A data warehouse (DW) may support such tasks, due to its abilities to integrate and aggregate data from organizationally internal, as well as external sources and present the data in formats that support strategic and tactical decision-makers.Traditionally, DW development projects have focused on data originating from internal systems, whereas the benefits of data acquired external to the organization, i.e. external data, have been neglected. However, as it has become increasingly important to keep track of the competitive forces influencing an organization, external data is gaining more attention. Still, organizations are experiencing problems when incorporating external data and these hinder the organizations from exploiting the potential of external data and prevent them to achieving return on their investments. In addition, current literature fails to assist organizations in avoiding or solving common problems.Therefore, in order to support organizations in their external data incorporation initiatives, a set of guidelines have been developed and contextualized. The guidelines are also complemented with a state of practice description, as a means of taking one step towards a cohesive body of knowledge regarding external data incorporation into DWs. The development of the guidelines, as well as the establishment of a state of practice description, was based upon the material from two literature reviews and four interview studies. The interview studies were conducted with the most important stakeholders when incorporating external data, i.e. the user organizations (2 studies), the DW consultants, and the suppliers of the external data. Additionally, in order to further ground the guidelines, interviews with a second set of DW consultants were conducted.
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  • Strand, Mattias, et al. (författare)
  • Provision of External Data for DSS, BI, and DW by Syndicate Data Suppliers
  • 2008
  • Ingår i: Collaborative Decision Making. - Amsterdam : IOS Press. - 9781586038816 - 9781607503460 ; , s. 245-256, s. 245-256
  • Konferensbidrag (refereegranskat)abstract
    • In order to improve business performance and competitiveness it is important for firms to use data from their external environment. More and more attention is directed towards data originating external to the organization, i.e., external data. A firm can either collect this data or cooperate with an external data provider. We address the latter case and focus syndicate data suppliers (SDSs). They are the most common sources when incorporating external data into business intelligence, DSS, and DW solutions. SDSs are specialized in collecting, compiling, refining, and selling data. We provide a detailed description regarding the business idea of syndicate data suppliers and how they conduct their business, as well as a description of the industry of syndicate data suppliers. As such, the paper increases the understanding for external data incorporation and the possibility for firms to cooperate with syndicat data suppliers.
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9.
  • Strand, Mattias (författare)
  • Refining the Concept of Syndicate Data : Categories and Characteristics, Definitions, and a View Ahead
  • 2008
  • Ingår i: Information Systems Engineering. - Hershey : IGI Global. - 9781599045672 - 1599045672 - 9781616927455 - 9781599045696 - 1599045699 ; , s. 292-307
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • This chapter introduces the concepts of external data and syndicate data. It contributes with a conceptual discussion regarding different categories of syndicate data, as well as definitions and applications thereof. In addition, the chapter also gives a view ahead for syndicate data, with respect to organizational, as well as technological challenges and trends. Thereby, it increases the understanding for syndicate data as a vital component in business intelligence initiatives and explains why external data in general and syndicate data in particular has become prerequisites in modern information systems. Furthermore, the author hopes that the categorization and view ahead will not only contribute to researchers through the conceptual discussion and the definitions of concepts, but also to practitioners spending resources on data originating from outside the own organization, by increasing the understanding of the concepts and the actors within the industry.
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