Babrak, Lmar

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Babrak
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Lmar
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Babrak, Lmar

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  • Vorschaubild nicht verfügbar
    Publikation
    Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences
    (Oxford University Press, 24.12.2019) Smakaj, Erand; Babrak, Lmar; Tosoni, Deniz David; Galli, Christa; Miho, Enkelejda [in: Bioinformatics]
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild nicht verfügbar
    Publikation
    Traditional and Digital Biomarkers: Two Worlds Apart?
    (Karger, 2019) Babrak, Lmar; Miho, Enkelejda [in: Digital Biomarkers]
    The identification and application of biomarkers in the clinical and medical fields has an enor - mous impact on society. The increase of digital devices and the rise in popularity of health- related mobile apps has produced a new trove of biomarkers in large, diverse, and complex data. However, the unclear definition of digital biomarkers, population groups, and their in - tersection with traditional biomarkers hinders their discovery and validation. We have identi - fied current issues in the field of digital biomarkers and put forth suggestions to address them during the DayOne Workshop with participants from academia and industry. We have found similarities and differences between traditional and digital biomarkers in order to synchronize semantics, define unique features, review current regulatory procedures, and describe novel applications that enable precision medicine.
    01A - Beitrag in wissenschaftlicher Zeitschrift
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    Publikation
    Real World Data - Technologies, Research Questions and Applications - Study in Cooperation - School of Business & School of Life Science
    (Fachhochschule Nordwestschweiz FHNW, 2019) Grimberg, Frank; Asprion, Petra; Schneider, Bettina; Miho, Enkelejda; Babrak, Lmar; Habbabeh, Ali
    In this research report of the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), a classification of ‘Real World Data’ into the research landscape takes place. In addition, an identification of the still open research questions is done based on the fundamental principles and properties. The manifold potential of this relatively new data set is illustrated by a presentation of the already existing but also conceivable future application possibilities. Finally, the contribution of the FHNW, based on its specific competencies, to the further application of the dataset is shown.
    05 - Forschungs- oder Arbeitsbericht