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Practical matters How to find us dr. R.S.N. (Rudolf) Fehrmann

Research interests

My practical and theoretical background enables me to take an integrative omics approach to identify driver genetic alterations, genes and biological pathways that are relevant for the pathophysiological behaviour and treatment response of tumors and rapidly translate these findings to clinical practice.

In addition to my training as a medical doctor, I completed one full year of Mathematics and Computer Science, after which I continued to obtain my MSc degree in Cognitive Science and Engineering.

In parallel to my medical studies, I worked for several years as a bio-informatician at the Department of Genetics, UMCG. In 2010, I obtained my PhD on high dimensional data analysis for new insights into ovarian cancer phenotypes, after which I continued as an affiliated post-doc at the Departments of Genetics and Medical Oncology (UMCG).

I followed the residency program in Internal Medicine / Medical Oncology and now work as a medical oncologist (staff member) at the department of Medical Oncology at the UMCG. In addition, I am a principal investigator at the Cancer Research Center Groningen in the research programmes: ‘Guided Treatment in Optimal Selected Cancer Patients (GUTS)’ and ‘Damage and Repair in Cancer Development and Cancer (DARE)’.


Andere ontwikkelingen in het kankeronderzoek: Toepassing kunstmatige intelligentie in de oncologie

An mRNA expression-based signature for oncogene-induced replication-stress

Circulating inflammatory proteins associate with response to immune checkpoint inhibition therapy in patients with advanced melanoma

Cross-cohort gut microbiome associations with immune checkpoint inhibitor response in advanced melanoma

Immunogenicity after second and third mRNA-1273 vaccination doses in patients receiving chemotherapy, immunotherapy, or both for solid tumours

Intraoperative MET-receptor targeted fluorescent imaging and spectroscopy for lymph node detection in papillary thyroid cancer: novel diagnostic tools for more selective central lymph node compartment dissection

Liver glycogen phosphorylase is upregulated in glioblastoma and provides a metabolic vulnerability to high dose radiation

MYC promotes immune-suppression in triple-negative breast cancer via inhibition of interferon signaling

The gut wall's potential as a partner for precision oncology in immune checkpoint treatment

Validation of Novel Molecular Imaging Targets Identified by Functional Genomic mRNA Profiling to Detect Dysplasia in Barrett’s Esophagus

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KWF-subsidie voor onderzoek naar werking immuuntherapie bij triple-negatieve borstkanker

UMCG krijgt miljoen euro voor onderzoek naar therapie bij agressieve borstkanker

UMCG krijgt miljoen euro voor onderzoek naar therapie bij agressieve borstkanker

Prangende vragen én antwoorden over artificial intelligence in de zorg

Artificial Intelligence in Medical Oncology

Interview on Artificial Intelligence in Medical Oncology

Vlog: YAG Interdisciplinary Project

Looking back: ECR Lunch on work / life balance

UMCG krijgt subsidie voor onderzoek naar kanker

Press releases: Gene expression analysis identifies global gene dosage sensitivity in cancer

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