Patrick Rehn

ORCID: 0009-0001-2559-8390
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About
Contact & Profiles
Research Areas
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Renal cell carcinoma treatment
  • MRI in cancer diagnosis
  • Immune Response and Inflammation
  • Intensive Care Unit Cognitive Disorders
  • Inflammation biomarkers and pathways
  • Palliative Care and End-of-Life Issues
  • Machine Learning and Data Classification
  • Sepsis Diagnosis and Treatment
  • Cardiac Arrest and Resuscitation
  • Respiratory Support and Mechanisms
  • Organ Transplantation Techniques and Outcomes
  • Data Stream Mining Techniques
  • Anomaly Detection Techniques and Applications
  • Liver Disease Diagnosis and Treatment

University Hospital Heidelberg
2023-2024

Heidelberg University
2023-2024

Goethe University Frankfurt
2019-2022

University Hospital Frankfurt
2019

Johannes Gutenberg University Mainz
2018

Hepatic chemosaturation for inoperable liver tumors is a palliative treatment option with beneficial effect on survival. However, the procedure regularly leads to circulatory failure during filtration phase, and hemodynamic management challenging. Our study aimed compare two different strategies develop hypotheses improving patient care reducing peri-interventional morbidity.

10.3390/cancers16213698 article EN Cancers 2024-11-01

Sepsis is defined as organ failure caused by dysregulated host response to infection. While early antibiotic treatment in patients with acute infection essential, treating non-infectious must be avoided. Current guidelines recommend procalcitonin (PCT) guide discontinuation of treatment. For initiation therapy, there currently no recommended biomarker. In this study, we evaluated Host-Derived Delta-like Canonical Notch Ligand 1 (DLL1), a monocyte membrane ligand that has shown promising...

10.3390/ijms24119164 article EN International Journal of Molecular Sciences 2023-05-23

Density estimation of streaming data is a relevant task in numerous domains. In this paper, novel non-parametric density estimator called FRONT (forest normalized trees) introduced. It uses structure multiple trees, segments the feature space stream through periodically updated linear transformation and able to adapt ever evolving streams. provides accurate performs favorably compared existing online estimators terms average log score on standard sets. Its low complexity, runtime as well...

10.1109/dsaa.2018.00030 article EN 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) 2018-10-01

Die echosignalverstärkte Sonografie war in Studien mit kleineren Fallzahlen der Computertomografie (CT) Detektion vitalen Tumorgewebes nach transarterieller Chemoembolisation (TACE) wegen hepatozellulärem Karzinom (HCC) nicht nur gleichwertig, sondern überlegen. Für die direkt postinterventionelle Kontrolle und Anwendung sog. time curve analysis (TCA) liegen keine Daten vor.

10.1055/s-0039-1695319 article DE Zeitschrift für Gastroenterologie 2019-08-13

Die echosignalverstärkte Sonografie war in Studien mit kleineren Fallzahlen der Computertomografie (CT) Detektion vitalen Tumorgewebes nach transarterieller Chemoembolisation (TACE) wegen hepatozellulärem Karzinom (HCC) nicht nur gleichwertig, sondern überlegen. Für die direkt postinterventionelle Kontrolle und Anwendung sog. time based analysis (TCA) liegen keine Daten vor.

10.1055/s-0039-1695810 article DE Ultraschall in der Medizin - European Journal of Ultrasound 2019-08-01
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