Area of research
Genetics · Molecular Biology
Research interest
The Clinical Translational Sciences group of BIH@Charité focuses on transforming clinical research into an innovative, interconnected, digitalized discipline that is data-driven and patient-centred at the same time. By fostering collaboration, improving data access, and advocating for supportive legal frameworks, we are working towards a future where medical research translates more rapidly into tangible health benefits, especially for patients facing rare and complex conditions.
Variability in Automated Sepsis Case Detection: A Systematic Analysis of Implementation Methods in Clinical Data Repositories
Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study
Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study.
The caregiver's journey: A qualitative study on the integration of family caregivers of advanced cancer patients in outpatient settings in Germany.
CDK4/6 inhibition in advanced chordoma: final results of the NCT PMO-1601 trial
Die ePA - eine Riesenchance für die Krebsbehandlung.
CDK4/6 inhibition in advanced chordoma: final results of the NCT PMO-1601 trial.
Evaluation of the effectiveness of a nationwide precision medicine program for patients with advanced non-small cell lung cancer in Germany: a historical cohort analysis.
Evaluation of a medical student-delivered smoking prevention program utilizing a face-aging mobile app for secondary schools in Germany: The Education Against Tobacco cluster-randomized controlled trial
Nationale Dekade gegen Krebs: Halbzeitbilanz und Perspektiven.
Evaluation of a medical student-delivered smoking prevention program utilizing a face-aging mobile app for secondary schools in Germany: The Education Against Tobacco cluster-randomized controlled trial.
Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP).
Evaluation of the effectiveness of a nationwide precision medicine program for patients with advanced non-small cell lung cancer in Germany: a historical cohort analysis
A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma
Hepatobiliary long-term consequences of COVID-19: dramatically increased rate of secondary sclerosing cholangitis in critically ill COVID-19 patients
A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma.
A 3-dimensional histology computer model of malignant melanoma and its implications for digital pathology
Cenicriviroc for the treatment of COVID-19: first interim results of a randomised, placebo-controlled, investigator-initiated, double-blind phase II trial.
A 3-dimensional histology computer model of malignant melanoma and its implications for digital pathology.
Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP)
Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study.
A 3-Dimensional Histology Computer Model of Malignant Melanoma and its Implications for Digital Pathology
Supplementary Methods from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Supplementary Tables S1-S7 from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Supplementary Methods from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Data from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Supplementary Tables S1-S7 from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Supplementary Figures S1-S10 from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Supplementary Figures S1-S10 from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Data from Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers