Beutter, C. N. L., Zeller, K., & Fegeler, C. (2023). Lessons learned of a patient-centered development of an app for measuring Quality of Life in oncology. https://doi.org/10.3205/23GMDS064

Beutter, C. N. L., Block, N., Berger, S., Edo-Ferrando, P., Heinz, B., Läufer, K., Lang, B., Mächtlen, K., Münkel, S., Rannert, D., Zwerenz-Kopp, F., & Fegeler, C. (2024). Lebensqualität bei Krebserkrankungen – Integration in die Versorgung (working paper von Versorgern und Betroffenen). https://doi.org/10.34657/13451

Sigle, S., Werner, P., Schweizer, S., Caldeira, L., Hosch, R., Dyrba, M., & Fegeler, C. (2024). Bridging the Gap Between (AI-) Services and Their Application in Research and Clinical Settings Through Interoperability: the OMI-Protocol. https://doi.org/10.34657/13458

Lingg, M., Beutter, C., Sigle, S., Zsebedits, D., & Fegeler, C. (2023). Challenge of Detecting Personal Deviations and Trends in Sensor Based Activity Data. In R. Röhrig, N. Grabe, M. Haag, U. Hübner, U. Sax, C. Oliver Schmidt, M. Sedlmayr, & A. Zapf (Eds.), Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/SHTI230711

Beutter, C. N. L., Werner, P., Sigle, S., Martens, U. M., & Fegeler, C. (2023). Assessing Quality of Life Using FHIR – How to Combine Patient Reported Outcome with Patient Generated Data for Better Compliance. In M. Hägglund, M. Blusi, S. Bonacina, L. Nilsson, I. Cort Madsen, S. Pelayo, A. Moen, A. Benis, L. Lindsköld, & P. Gallos (Eds.), Studies in Health Technology and Informatics. IOS Press. https://doi.org/10.3233/SHTI230083

Beutter, C. N. L., Vladimirova, D., Martens, U. M., & Fegeler, C. (2023). Clinical use of quality of life data for treatment and survivorship in oncology. Journal of Clinical Oncology, 41(16_suppl), e24044–e24044. https://doi.org/10.1200/JCO.2023.41.16_suppl.e24044

D’Imprima, E., Garcia Montero, M., Gawrzak, S., Ronchi, P., Zagoriy, I., Schwab, Y., Jechlinger, M., & Mahamid, J. (2023). Light and electron microscopy continuum-resolution imaging of 3D cell cultures. Developmental Cell, 58(7), 616-632.e6. https://doi.org/10.1016/j.devcel.2023.03.001

Radic Shechter, K., Kafkia, E., Zirngibl, K., Gawrzak, S., Alladin, A., Machado, D., Lüchtenborg, C., Sévin, D. C., Brügger, B., Patil, K. R., & Jechlinger, M. (2021). Metabolic memory underlying minimal residual disease in breast cancer. Molecular Systems Biology, 17(10). https://doi.org/10.15252/msb.202010141

Bialke, M., Geidel, L., Hampf, C., Blumentritt, A., Penndorf, P., Schuldt, R., Moser, F.-M., Lang, S., Werner, P., Stäubert, S., Hund, H., Albashiti, F., Gührer, J., Prokosch, H.-U., Bahls, T., & Hoffmann, W. (2022). A FHIR has been lit on gICS: facilitating the standardised exchange of informed consent in a large network of university medicine. BMC Medical Informatics and Decision Making, 22(1), 335. https://doi.org/10.1186/s12911-022-02081-4

Vladimirova, D., Bochum, S., Weiß, M., & Martens, U. M. (2022). Molekulares Profiling für Diagnose und Therapieentscheidung beim CUP Syndrom: Fallbericht aus einer monozentrischen Studie. Oncology Research and Treatment, 45(suppl 2), 5–346. https://doi.org/https://doi.org/10.1159/000526456

Vladimirova, D., Mbonu, P., Umapathy, M., Kothapalli, P., Otmacic, G., Akkad, J., Weyersberg, S., Martens, U. M., & Jechlinger, M. (2022). Etablierung einer Gewebe-Pipeline für multidimensionale Analysen beim metastasierten kolorektalen Karzinom. Oncology Research and Treatment, 45(suppl 2), 5–346. https://doi.org/https://doi.org/10.1159/000526456

Bochum, S., Ulmer, M., Rohlfing, S., Schmohl, J., Löffler, H., Knott, M., Weßendorf, S., Hänle, C., Greiner, J., Denzlinger, C., Illerhaus, G., Ganten, T., Sipos, B., Biskup, S., Vladimirova, D., Sigle, S., Zsebedits, D., Fegeler, C., & Martens, U. M. (2022). ZvPM - Implementierung eines IT-gestützten überregionalen Molekularen Tumorboards (MTB). Oncology Research and Treatment, 45(suppl 2), 5–346. https://doi.org/https://doi.org/10.1159/000526456

Sigle, S., Werner, P., & Fegeler, C. (2022). Implementation of an Interoperable Order-Entry Process for Virtual Molecular Tumorboards. Oncology Research and Treatment, 45(suppl 2), 5–346. https://doi.org/https://doi.org/10.1159/000526456

Imeraj, E., Beutter, C. N. L., Sigle, S., Martens, U. M., & Fegeler, C. (2022). An information model for personalized treatment of cancer based on processing an applying Patient-Generated Health Data. Oncology Research and Treatment, 45(suppl 2), 5–346. https://doi.org/https://doi.org/10.1159/000526456

Beutter, C. N. L., Imeraj, E., Martens, U. M., & Fegeler, C. (2022). Concept of a data driven system to accomplish a longitudinal survey of quality of life in oncology. https://doi.org/10.3205/22GMDS030

Mathes, G., Sigle, S., & Fegeler, C. (2022). Design and implementation of a decision support system for eligibility of patients within oncologic precision trials. https://doi.org/10.3205/22GMDS003

Beutter, C. N. L., Martens, U. M., & Fegeler, C. (2022). From patient generated data to precision medicine: An example of a patient-centered application in oncology. Journal of Clinical Oncology, 40(16_suppl), e13559–e13559. https://doi.org/10.1200/JCO.2022.40.16_suppl.e13559

Ozturk, M. S., Montero, M. G., Wang, L., Chaible, L. M., Jechlinger, M., & Prevedel, R. (2021). Intravital mesoscopic fluorescence molecular tomography allows non-invasive in vivo monitoring and quantification of breast cancer growth dynamics. Communications Biology, 4(1), 556. https://doi.org/10.1038/s42003-021-02063-8

Rubio, T., Weyershaeuser, J., Montero, M. G., Hoffmann, A., Lujan, P., Jechlinger, M., Sotillo, R., & Köhn, M. (2021). The phosphatase PRL-3 affects intestinal homeostasis by altering the crypt cell composition. Journal of Molecular Medicine, 99(10), 1413–1426. https://doi.org/10.1007/s00109-021-02097-9

Ronchi, P., Mizzon, G., Machado, P., D’Imprima, E., Best, B. T., Cassella, L., Schnorrenberg, S., Montero, M. G., Jechlinger, M., Ephrussi, A., Leptin, M., Mahamid, J., & Schwab, Y. (2021). High-precision targeting workflow for volume electron microscopy. Journal of Cell Biology, 220(9), e202104069. https://doi.org/10.1083/jcb.202104069

Beutter, C. N. L., Sigle, S., Martens, U., & Fegeler, C. (2021). Secondary use of sensor data from private wearables in medicine. Oncology Research and Treatment, 44(2), 302–303. https://doi.org/10.1159/000518417

Sigle, S., Kaufmes, K., Werner, P., Bochum, S., Martens, U., & Fegeler, C. (2021). Variant Browser: A comprehensive information retrieval tool for molecular genetics in a precision oncology setting. Oncology Research and Treatment, 44(2), 96–97. https://doi.org/10.1159/000518417

Sigle, S., Kaufmes, K., Werner, P., Bochum, S., Martens, U., & Fegeler, C. (2021). Introducing Variant Browser – a Meta Search Plattform for Genetic Variants. DocAbstr. 48. https://doi.org/10.3205/21gmds054

Sigle, S., Bochum, S., Werner, P., Walter, D., Martens, U. M., & Fegeler, C. (2020). Taming Data Sources to enable interoperable Clinical Decision Support for Virtual Molecular Tumor Boards. DGHO-Jahrestagung, Supplement Im Oncology Research and Treatment 2020, 69. https://doi.org/10.1159/isbn.978-3-318-06715-6

Beutter, C. N. L., Ross, J., Werner, P., Vladimirova, D., Martens, U. M., & Fegeler, C. (2020). Quality of life as an indicator for care delivery in clinical oncology using FHIR. Studies in Health Technology and Informatics, 110–117. https://doi.org/10.3233/SHTI210058

Sigle, S. (2020, November 17). Establishing Clinical Decision Support for Virtual Molecular Tumor Boards. FHIR Dev Days 2020. https://www.devdays.com/wp-content/uploads/2020/12/zibbw_201117_StefanSigle_Establishing_Clinical_Decision_Support_for_Virtual_Molecular_Tumor_Boards.pdf

Vladimirova, D., Bochum, S., Larribere, L., Kocher, S., Gallo, N., Sigle, S., Beutter, C. N. L., Biskup, S., Fegeler, C., & Martens, U. M. (2020). GASTRY: eine monozentrische Registerstudie zur Erfassung klinischer, molekularer und Lebensqualitätsparameter bei Patienten mit gastrointestinalen Tumoren / GASTRY: a monocentric registry study to record clinical, molecular and quality of life parameters in patients with gastrointestinal tumors. DGHO-Jahrestagung, Supplement Im Oncology Research and Treatment 2020. DGHO, Berlin. https://www.professionalabstracts.com/dgho2020/programme-dgho2020.pdf

Beutter, C. N. L., Sigle, S., Walter, D., Vladimirova, D., Martens, U. M., & Fegeler, C. (2020). Systematic approach to an automated, sensor-based collection of medical parameters in oncological care. DGHO-Jahrestagung, Supplement Im Oncology Research and Treatment 2020, 69. https://www.professionalabstracts.com/dgho2020/programme-dgho2020.pdf

Martens, U. M., Bochum, S., Mergel, F., Schiliro, A., Gallo, N., Pereira, P., Sipos, B., & Vladimirova, D. (2020). Rasches Therapieansprechen auf Larotrectinib bei mCRC-Patienten mit neuartiger onkogener NTRK-TP53 Fusion / Rapid clinical response to Larotrectinib in a mCRC patient with a novel oncogenic NTRK1-TP53 fusion. DGHO-Jahrestagung, Supplement Im Oncology Research and Treatment 2020, 133. https://www.professionalabstracts.com/dgho2020/programme-dgho2020.pdf

Bochum, S., Schall, L., Martens, U. M., Fegeler, C., & Pobiruchin, M. (2020). Pooling Clinical Cancer Registry Data with Public Genomic Datasets. Already an option to enhance real world evidence in precision oncology? DGHO-Jahrestagung, Supplement Im Oncology Research and Treatment 2020. DGHO. https://www.professionalabstracts.com/dgho2020/programme-dgho2020.pdf

Schall, L., Bochum, S., & Pobiruchin, M. (2020). Merging Genomics Public Datasets with Clinical Cancer Registry Data – Lessons Learned. GMDS.

Sigle, S., Werner, P., Bochum, S., Finkeisen, D., Martens, U. M., & Fegeler, C. (2020). Interoperable Knowledge- and Decision Support Components in Virtual Molecular Tumor Boards. GMDS.

Molekularpathologie on FHIR: Der Clinical Genomics Implementation Guide. (2020). DMEA – SParks.

Bochum, S. (n.d.). Platin-basierte Chemotherapeutika verlängern das Überleben von Pankreaskarzinom-Patienten mit einer Keimbahn-Mutation in BRCAness-Genen. Oncology Research and Treatment. https://doi.org/10.1159/000502425

Bochum, S., Vladimirova, D., Schiliro, A., Akkad, J., Autschbach, F., Finkeisen, D., Keil, A., Biskup, S., Fegeler, C., & Martens, U. M. (2019). Prolonged overall survival of pancreatic cancer patients with BRCAness germline mutations treated with DNA-damaging agents. Oncology Research and Treatment, 36. https://doi.org/10.1159/000502425

Keil, A., Sigle, S., Bochum, S., & Fegeler, C. (2019). Drowning in Information: The lack of integrating Knowledge Databases. Oncology Research and Treatment, 61. https://doi.org/10.1159/000502425

Beutter, C. N. L., Zsebedits, D., Ross, J., & Martens, U. M. (2019). Key factors for acceptance of an e-health solution. Oncology Research and Treatment, 61. https://doi.org/10.1159/000502425

Bochum, S., & Martens, U. M. (2019). Keimbahnmutationen können über Therapieerfolg entscheiden. JATROS Hämatologie & Onkologie. https://www.universimed.com/at/article/onkologie/keimbahnmutationen-koennen-ueber-therapieerfolg-entscheiden-2122385

Fegeler, C., Zsebedits, D., Bochum, S., Finkeisen, D., & Martens, U. M. (2018). Implementierung eines IT-gestützten molekularen Tumorboards in der Regelversorgung. Forum, 33(5), 322–328. https://doi.org/10.1007/s12312-018-0459-3

Berger, S., Bochum, S., Finkeisen, D., Schilliro, A., Autschbach, F., Bischof, M., Hagmueller, E., Pereira, P. L., Weickert, U., Sipos, B., Biskup, S., & Martens, U. M. (2018). Sustainable Response of a Patient With Metastasized Pancreatic Cancer and a Hypermutational Phenotype to Immunotherapy. New Therapeutic Concept for a Rare Subtype? JCO Precision Oncology, 2, 1–6. https://doi.org/10.1200/PO.18.00005

Werner, P. (2019). Semantical interoperability: precondition for modern big-data approaches. Oncology Research and Treatment, 61. https://doi.org/10.1159/000502425

Jechlinger, M., Vladimirova, D., Sigle, S., Kulu, Y., & Martens, U. M. (n.d.). Von der Klinik zur Forschung: neue Pipelines für Patient:innen mit kolorektalem Karzinom. https://molit.eu/wp-content/uploads/2023/04/02_23_Digitalmedizin_Pipelines_Martens_Ansicht_3.pdf