2019-12-24, Smakaj, Erand, Babrak, Lmar, Tosoni, Deniz David, Galli, Christa, Miho, Enkelejda

2019-01-28, Miho, Enkelejda

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.

2019-09-17, Miho, Enkelejda

2019-01-17, Miho, Enkelejda

2019-03-21, Miho, Enkelejda

The architecture of mouse and human antibody repertoires is defined by the sequence similarity networks of the clones that compose them. The major principles that define the architecture of antibody repertoires have remained largely unknown. Here, we establish a high-performance computing platform to construct large-scale networks from comprehensive human and murine antibody repertoire sequencing datasets (>100,000 unique sequences). Leveraging a network-based statistical framework, we identify three fundamental principles of antibody repertoire architecture: reproducibility, robustness and redundancy. Antibody repertoire networks are highly reproducible across individuals despite high antibody sequence dissimilarity. The architecture of antibody repertoires is robust to the removal of up to 50–90% of randomly selected clones, but fragile to the removal of public clones shared among individuals. Finally, repertoire architecture is intrinsically redundant. Our analysis provides guidelines for the large-scale network analysis of immune repertoires and may be used in the future to define disease-associated and synthetic repertoires.

2019, Babrak, Lmar, Miho, Enkelejda

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.