Area of research
Transplantation · Molecular Biology
Research interest
Research interests include Renal Transplantation Outcomes and Treatments, Metabolomics and Mass Spectrometry Studies, Clinical Laboratory Practices and Quality Control, and Advanced Proteomics Techniques and Applications.
Machine learning-based short-term forecasting of COVID-19 hospital admissions using routine hospital patient data.
Predominance of Calcium Pyrophosphate Crystals in Synovial Fluid Samples of Patients at a Large Tertiary Center.
Machine learning-based short-term forecasting of COVID-19 hospital admissions using routine hospital patient data
ICD-10 code embedding for patient matching: a first step toward applications in causal inference from hospital discharge data
Direct, age- and gender-specific reference intervals: applying a modified M-estimator of the Yeo-Johnson transformation to clinical real-world data
Data Mining Reference Intervals by ICD-10 Stratified Differential Distributions.
Prognostic models in COVID-19 infection that predict severity: a systematic review
Extending outbreak investigation with machine learning and graph theory: Benefits of new tools with application to a nosocomial outbreak of a multidrug-resistant organism.
Machine Learning in Antibody Diagnostics for Inflammatory Bowel Disease Subtype Classification.
Statistical learning and big data applications
Signs of Alveolar Collapse in Idiopathic Pulmonary Fibrosis, Hypersensitivity Pneumonitis and Systemic Sclerosis Revealed by Inspiration and Expiration Computed Tomography
The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application.
Deployment of an Automated Method Verification-Graphical User Interface (MV-GUI) Software
Correction: The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application.
The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application (Preprint)
Correction: The BioRef Infrastructure, a Framework for Real-Time, Federated, Privacy-Preserving, and Personalized Reference Intervals: Design, Development, and Application (Preprint)
Big Data in Laboratory Medicine-FAIR Quality for AI?
Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm Development and Validation.
Real-world Health Data and Precision for the Diagnosis of Acute Kidney Injury, Acute-on-Chronic Kidney Disease, and Chronic Kidney Disease: Observational Study.
Urine Flow Cytometry Parameter Cannot Safely Predict Contamination of Urine-A Cohort Study of a Swiss Emergency Department Using Machine Learning Techniques.
Computational Evidence for Laboratory Diagnostic Pathways: Extracting Predictive Analytes for Myocardial Ischemia from Routine Hospital Data.
Collaborative Challenges of Multi-Cohort Projects in Pharmacogenetics-Why Time Is Essential for Meaningful Collaborations.
Big Data in Laboratory Medicine – FAIR Quality for AI?
Big Data in Laboratory Medicine – Ready for AI?
Cohort Profile: Swiss BioRef: The building blocks of a nationwide IT infrastructure in Switzerland for generating precise reference intervals
Collaborative challenges of multi-cohort project in pharmacogenetics: why time is essential for meaningful collaborations (Preprint)
Machine Learning Prediction of Hypoglycemia and Hyperglycemia From Electronic Health Records: Algorithm Development and Validation (Preprint)
Lipoprotein(a) is associated with large artery atherosclerosis stroke aetiology and stroke recurrence among patients below the age of 60 years: results from the BIOSIGNAL study
The association between nurse staffing and inpatient mortality: A shift-level retrospective longitudinal study
Lipoprotein(a) is associated with large artery atherosclerosis stroke aetiology and stroke recurrence among patients below the age of 60 years: results from the BIOSIGNAL study.