Research
- Research Topics
- Cell Biology and Tumor Biology
- Stem Cells and Cancer
- Inflammatory Stress in Stem Cells
- Experimental Hematology
- Molecular Embryology
- Signal Transduction and Growth Control
- Epigenetics
- Redox Regulation
- Vascular Oncology and Metastasis
- Clinical Neurobiology
- Molecular Neurogenetics
- Molecular Neurobiology
- Mechanisms Regulating Gene Expression
- Molecular Biology of Centrosomes and Cilia
- Dermato-Oncology
- Pediatric Leukemia
- Tumour Metabolism and Microenvironment
- Personalized Medical Oncology
- Molecular Hematology - Oncology
- Cancer Progression and Metastasis
- Translational Surgical Oncology
- Neuronal Signaling and Morphogenesis
- Cell Signaling and Metabolism
- Cell Fate Engineering and Disease Modeling
- Cancer Drug Development
- Cell Morphogenesis and Signal Transduction
- Functional and Structural Genomics
- Molecular Genome Analysis
- Molecular Genetics
- Pediatric Neurooncology
- Cancer Genome Research
- Chromatin Networks
- Functional Genome Analysis
- Theoretical Systems Biology
- Neuroblastoma Genomics
- Signaling and Functional Genomics
- Signal Transduction in Cancer and Metabolism
- RNA-Protein Complexes and Cell Proliferation
- Systems Biology of Signal Transduction
- Areas of Interest
- Advancement of clinical proteomics for systems medicine
- Bridging from the single cell to the cell population – Epo-induced cellular responses and erythroleukemia
- Deciphering tumor microenvironment interactions determining lung cancer development
- Mechanisms controlling the compensation of liver injury and towards model-based biomarkers for early detection of liver cancer
- Application of dynamic pathway modelling for personalized medicine
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- Molecular thoracic Oncology
- Proteomics of Stem Cells and Cancer
- Computational Genomics and System Genetics
- Applied Functional Genomics
- Applied Bioinformatics
- Translational Medical Oncology
- Metabolic crosstalk in cancer
- Pediatric Glioma Research
- Cancer Epigenomics
- Translational Pediatric Sarcoma Research
- Artificial Intelligence in Oncology
- Mechanisms of Genomic Variation and Data Science
- Neuropathology
- Pediatric Oncology
- Neurooncology
- Somatic Evolution and Early Detection
- Translational Control and Metabolism
- Soft-Tissue Sarcoma
- Precision Sarcoma Research
- Brain Mosaicism and Tumorigenesis
- Mechanisms of Genome Control
- Translational Gastrointestinal Oncology and Preclinical Models
- Translational Lymphoma Research
- Mechanisms of Leukemogenesis
- Genome Instability in Tumors
- Developmental Origins of Pediatric Cancer
- Brain Tumor Translational Targets
- Translational Functional Cancer Genomics
- Regulatory Genomics and Cancer Evolution
- SPRINT
- Cancer Risk Factors and Prevention
- Cancer Epidemiology
- Biostatistics
- Clinical Epidemiology and Aging Research
- Health Economics
- Physical Activity, Prevention and Cancer
- Primary Cancer Prevention
- Personalized Early Detection of Prostate Cancer
- Digital prevention, diagnostics and therapy guidance
- Policy and Implementation Research for Cancer Prevention
- Tumorigenesis and molecular cancer prevention
- Genomic Epidemiology
- Cancer Survivorship
- Immunology, Infection and Cancer
- Structural Biology of Infection and Immunity
- Cellular Immunology
- B Cell Immunology
- Immune Diversity
- Immunoproteomics
- Personalized Immunotherapy
- mRNA Cancer Immunotherapies
- Tumor Immunology and Tumor Immunotherapy
- Infections and Cancer Epidemiology
- Pathogenesis of Virus-Associated Tumors
- Immunotherapy and Immunoprevention
- Virus-associated Carcinogenesis
- Chronic Inflammation and Cancer
- Microbiome and Cancer
- Molecular Oncology of Gastrointestinal Tumors
- Applied Tumor Immunity
- Neuroimmunology and Brain Tumor Immunology
- Applied Tumor Biology
- Virotherapy
- Adaptive Immunity and Lymphoma
- Dermal Oncoimmunology
- Immune Regulation in Cancer
- Systems Immunology and Single Cell Biology
- Pediatric Immuno-Oncology
- Epithelium Microbiome lnteractions
- Experimental Hepatology, Inflammation and Cancer
- GMP & T Cell Therapy
- Tumorvirus-specific Vaccination Strategies
- Mammalian Cell Cycle Control Mechanisms
- Molecular Therapy of Virus-Associated Cancers
- DNA Vectors
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- Radiological Early Response Assessment Of Modern Cancer Therapies
- Imaging In Monoclonal Plasma Cell Disorders
- 7 Tesla MRI - Novel Imaging Biomarkers
- Functional Imaging
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- PET/MRI
- Dual- and Multienergy CT
- Radiomics Research Group
- Prostate Research Group
- Bone marrow
- Musculoskeletal Imaging
- Microstructural Imaging Research Group
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- Medical Physics in Radiology
- X-Ray Imaging and Computed Tomography
- Federated Information Systems
- Translational Molecular Imaging
- Medical Physics in Radiation Oncology
- Biomedical Physics in Radiation Oncology
- Intelligent Medical Systems
- Medical Image Computing
- Radiooncology - Radiobiology
- Smart Technologies for Tumor Therapy
- Team
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- Microrobots and Miniaturize Devices for Minimally-invasive Surgery
- Magnetic localization and sensing for biomedical devices
- Nanorobots for Targeted Delivery in Deep Biological Tissues
- 3D Additive Manufacturing of Soft Materials as In Vitro Tumor Models
- Surgical Simulation on Cyber-physical Organ Models
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- Multiparametric methods for early detection of prostate cancer
- Translational Molecular Imaging in Oncologic Therapy Monitoring
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Division of Medical Physics in Radiology
Prof. Dr. sc. techn. Mark E. Ladd
The Division of Medical Physics in Radiology develops new methods for imaging-based diagnostic and therapeutic procedures. Our research focuses on novel hardware as well as software-based acquisition and reconstruction strategies for magnetic resonance imaging (MRI), positron emission tomography (PET), and optical tomography. We strive to improve and individualize cancer patient treatment by acquiring quantitative biomedical information about tumors and metastases with non-invasive imaging methods. For example, we are expanding the diagnostic value of MRI by using very powerful magnetic fields (7 or 9.4 Tesla) to depict the distribution of sodium, oxygen, potassium, and chlorine inside the body. Another approach to capture metabolic processes is hyperpolarization of carbon in various chemical substrates, which are then injected into the body and measured with MRI. By optimizing MRI diffusion techniques, we have been able to greatly improve the diagnostic accuracy of breast cancer screening, and we are investigating how maps of tissue susceptibility correlate with disease. An additional emerging MR imaging contrast is provided by Chemical Exchange Saturation Transfer (CEST) imaging, which allows detection and measurement of glucose or mobile proteins. Furthermore, we are exploring new detector concepts for simultaneous PET and optical imaging.
Medical imaging continues to be one of the key technologies for cancer detection, characterization, and therapy monitoring. Despite the enormous technological advances achieved in the past decades, imaging still has enormous potential to reveal more information about the metabolic, physiologic, and functional parameters of tumors and metastases. This information can then be used to choose the best therapy for each individual patient. In collaboration with clinical divisions of the DKFZ and partners at the university hospital, we are working to translate our developments into standard patient use. This includes state-of-the-art imaging protocols at our MR imagers located at the National Center for Tumor Diseases (NCT).