University Medical Center Hamburg-EppendorfGermany
Stefan Kluge is a Professor at the Department of Intensive Care within the University Medical Center Hamburg-Eppendorf . With over 150 publications in 2025-2024 alone, his work focuses on critical care medicine, sepsis, ARDS, and cardiogenic shock. His recent research explores ARDS impact on liver cirrhosis outcomes Hyperoxia effects in traumatic brain injury Biomarkers for cardiogenic shock prognosis Novel retrograde limb perfusion techniques during ECPR Dual-energy CT for body composition analysis He contributes extensively to German national guidelines for nosocomial pneumonia and participates in multi-center critical care trials. Stefan Kluge's collaborations span neuro-intensive care , cardiovascular research , and infection/immunity domains. His work integrates machine learning applications and medical informatics to improve ICU decision-making.
University Medical Center Hamburg-EppendorfGermany
Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.
University Medical Center Hamburg-EppendorfGermany
Patrick Czorlich is a Senior physician and Medical Specialist in Neurosurgery at the University Medical Center Hamburg-Eppendorf (UKE), working within the Head and Neurocenter Department of Neurosurgery. He holds dual qualifications as a Prüfarzt (clinical trial physician) for both medicinal products and medical devices under German law. His clinical expertise spans neurosurgery with a specialized focus on neurosurgical intensive care. Dr. Czorlich's research interests are extensive within neurosurgical domains, with particular emphasis on traumatic brain injury, subarachnoid hemorrhage, neurocritical care, cerebrospinal fluid dynamics, and intracranial hemorrhage management. His work demonstrates a strong translational approach, bridging clinical practice with research to improve patient outcomes in complex neurosurgical cases. He has developed expertise in areas such as shunt dependency prediction, Terson Syndrome, and the management of complications following aneurysmal subarachnoid hemorrhage. Analysis of his recent publications (2023-2025) reveals a consistent research trajectory focused on improving outcomes in neurocritical care patients. His work spans clinical trials (including the FINISHER trial), predictive analytics using machine learning, management of complications following subarachnoid hemorrhage, and innovative approaches to neurosurgical interventions. Notably, his research often incorporates interdisciplinary collaboration, particularly with ophthalmology for Terson Syndrome studies and with critical care specialists for comprehensive patient management. His scientific contributions demonstrate expertise in both clinical neurosurgery and research methodology, with publications appearing in high-impact journals across neurosurgery, critical care, and related specialties. The consistent output of research and clinical studies indicates active engagement in advancing neurosurgical practice and patient care protocols.
University Medical Center Hamburg-EppendorfGermany
Marlene Fischer is a Clinical Associate Professor at the Clinic for Intensive Care Medicine within the University Medical Center Hamburg-Eppendorf . Her work bridges Critical Care Medicine , Anesthesiology , and Neurology , focusing on postoperative outcomes, neurocognitive recovery, and critical illness complications. Research Interests: Neurocritical care and cerebrovascular autoregulation Machine learning applications in ICU data Postoperative recovery metrics (QoR-15GE, QoR-PACU2) Impact of hyperoxia and carbon dioxide fluctuations in critical care COVID-19-related vascular and neurocognitive outcomes Publications Trends: Her recent work explores the intersection of respiratory medicine , neurology , and machine learning , with a focus on ARDS , TBI , and ECMO patients. She investigates diagnostic accuracy (e.g., Aspergillus antigen vs. PCR), hemodynamic management, and post-surgical cognitive changes. Collaborations: Fischer collaborates extensively with researchers at UKE, notably with Clinic for Intensive Care Medicine colleagues like Kluge, Grensemann, and Zöllner . She contributes to the Neuro-Immune Network Hamburg and participates in clinical trials and retrospective analyses.
Prof. Dr. Anja Meissner is a leading physiologist at the University of Augsburg's Medical School, specializing in vascular biology with affiliations to Lund University and DZNE Bonn. Her research focuses on Sphingosine-1-phosphate (S1P) signaling in cardiovascular diseases, hypertension, and neurovascular interactions. University of Augsburg, Medical School Lund University collaborations DZNE Bonn partnerships Research Highlights: Investigates immune system roles in hypertension, heart failure's target organ effects, S1P pathway in stroke, cardiovascular risk factors' impact on brain function, and environmental influences on vascular health. Key methods include non-invasive imaging , flow cytometry , and in vitro/ex vivo models . Publication Trends: Recent work emphasizes microfluidic neurovascular models , glymphatic system dysfunction , and sex-specific cardiovascular responses . Collaborations span neurology, cardiology, and environmental science institutions. Awards & Grants: DFG Project Funding (2025-2028) Hjärnfonden Grant (2024-2025) Albert Påhlsson Foundation (2022-2025) Swedish Research Council (2023-2026) Educational Impact: Mentored 15+ PhD students including Lotte Vanherle and Frank Matthes. Leads international research teams with scholars from Sweden, Belgium, Italy, and Canada. Current grants focus on CFTR therapeutics and sex-specific hypertension consequences .
University Medical Center Hamburg-EppendorfGermany
Christos Skevas is a researcher affiliated with the Department of Ophthalmology at Universitätsklinikum Eppendorf (UKE), Hamburg. His work focuses on advanced retinal imaging, artificial intelligence applications in eye disease diagnostics, and surgical interventions for retinal disorders. He contributes to clinical registries like the German Retina.net ROP registry, studying retinopathy of prematurity trends and outcomes. His research spans Terson syndrome management in neuro-ophthalmic contexts, vitreoretinal surgical techniques, and AI-driven screening systems for chronic eye conditions. Skevas collaborates on interdisciplinary projects involving holographic medical training tools and analyzes pandemic impacts on ocular trauma rates. Primary Affiliation: University Medical Center Hamburg-Eppendorf, Medical School Key Research Areas: Retinal Detachment, Diabetic Retinopathy, AI in Ophthalmology Active Clinical Trials: Evaluating drug combinations for postoperative retinal complications Research Interests: Specializes in leveraging medical imaging technologies (OCT, fundus photography) and machine learning to improve diagnostic accuracy for retinal diseases. His work bridges clinical practice and innovation, addressing unmet needs in retinopathy of prematurity screening, Terson syndrome management following cerebral hemorrhages, and optimizing vitreoretinal surgical outcomes through comparative studies on retinopexy techniques. Publications Trends: Over 30 peer-reviewed articles since 2010, with recent focus on AI applications in ophthalmology, surgical intervention outcomes, and epidemiological analyses of retinal disorders. His 2024 studies highlight real-world implementation of AI screening models and the impact of German fireworks regulations on ocular trauma reduction. Grants & Collaborations: Involved in EU-ROP registry expansion, interdisciplinary neuro-ophthalmology projects, and clinical trials for anti-proliferative therapies. Active in medical education through holographic training development.
Professor Nima Etminan is the Clinic Director of the Neurosurgical Clinic at the Medical Faculty Mannheim, Heidelberg University. His research focuses on translational studies of cerebrovascular diseases, particularly intracranial aneurysms and arteriovenous malformations. He leads efforts to identify biomarkers, develop molecular imaging techniques, and design preventive therapies. His work integrates six core strategies: bio-sampling during interventions, molecular biology analysis, biomarker development, epidemiological studies, risk modeling, and clinical trial design. Key projects include the CONTINUITY study (2021–2023) funded by the Baden Württemberg Ministry, investigating collagen turnover in aneurysms, and the PROTECT-U trial (since 2017), evaluating risk factor management in unruptured aneurysms as principal investigator. His research also addresses global epidemiology of subarachnoid hemorrhage and clinical guideline development for aneurysm management. Professional contributions include authoring guidelines for unruptured intracranial aneurysms and advancing validated outcome tools like the German SAHOT. His work bridges basic science and clinical practice, emphasizing preventive strategies and molecular mechanisms underlying cerebrovascular pathologies.
University Medical Center Hamburg-EppendorfGermany
Abduzhappar Gaipov, MD, PhD , is a board-certified nephrologist and Associate Professor at Nazarbayev University School of Medicine . He holds a PhD in Clinical Science (Internal Medicine) from the National Scientific Medical Center (Kazakhstan) and has completed postdoctoral research at the University of Tennessee Health Science Center (USA). His career spans leadership roles, including Department Chair at the National Scientific Medical Research Center (2012–2018) and collaborations with institutions in Turkey, USA, and Kazakhstan. Education : MD (Akhmet Yassawi University, 2004); PhD in Clinical Science (Internal Medicine, National Scientific Medical Center, 2008). Dr. Gaipov’s research focuses on chronic kidney disease , dialysis , renal regeneration , and big data epidemiology . His work integrates urinary proteomics , extracorporeal blood purification , and AI-driven healthcare analytics . Recent projects include forecasting cancer trends in Kazakhstan and identifying biomarkers for diabetic kidney disease via mass spectrometry. He has published over 90 peer-reviewed papers and leads multi-center studies on cardiovascular-kidney-metabolic syndrome. His peer-reviewed work spans machine learning in critical care , renal replacement therapies , and epidemiology of non-communicable diseases . As chair of the ISN NIS&Russia region board (2020–2022), he advocates for nephrology advancements in Central Asia. Dr. Gaipov serves as an editor/reviewer for journals like Theranostics and Clinical Medicine Insights , and supervises graduate researchers in nephrology and data science.
Prof. Bernhard Meyer is a Professor of Neurosurgery at the Technische Universität München (TUM), leading the Chair of Neurosurgery since 2006. His research focuses on vascular, oncological, and spinal neurosurgery, with notable contributions to stereotactic radiotherapy for brain metastases and spinal tumor management. Meyer studied medicine at the Universities of Padua and Erlangen-Nürnberg, with international training at institutions like the Northwestern University in Chicago and completed his habilitation in neurosurgery at the University of Bonn. Professional roles include former President of the Deutsche Gesellschaft für Wirbelsäulenchirurgie (2019) and leadership in EuroSpine and the European Association of Neurosurgical Societies. His work emphasizes translational research, surgical innovation, and clinical outcomes in neuro-oncology and spinal disorders. Key publications address tumor control strategies, surgical techniques for spinal pathologies, and the impact of biotic factors on neurological conditions. Education: MD: Universities of Padua (Italy) and Erlangen-Nürnberg (Germany) PhD: Institute of Human Genetics, University of Erlangen-Nürnberg (1989) Neurosurgical Training: Tübingen, Duisburg, Bonn, with international stints in Zurich and Phoenix, AZ Meyer’s research integrates clinical practice with cutting-edge technologies, such as radiomics and robotic-assisted surgery. His studies on postoperative outcomes, such as in cerebellar infarction and spinal infections, highlight his commitment to improving patient care through evidence-based practices.
Prof. Dr. Gernot Müller is a Full Professor of Computational Statistics and Data Analysis at the University of Augsburg since 2013. Previously, he held academic positions at the University of Oldenburg (2013), TU Munich (2006-2013), and Australian National University (2002-2006). His research spans Artificial Intelligence , Bayesian Statistics , Computational Econometrics , and Medical Statistics , with particular focus on energy economics and biostatistical applications . PhD: Technische Universität München (2004) Habilitation: Technische Universität München (2010) Bachelor's: Julius-Maximilians-Universität Würzburg (2000) His research interests include: Bayesian hierarchical modeling for energy markets Stochastic volatility models in financial time series Machine learning applications in medical imaging Epidemiological analysis of pandemic impacts Statistical modeling of renewable energy integration Deep learning for cancer prognosis Recent publications (2024-2025) address: Electricity price forecasting with renewable energy integration Cryptocurrency market dynamics via stable processes Medical imaging analysis for wound healing Lymphocyte subset modeling in cancer patients Neurosurgical outcome assessment tools Stochastic models for photovoltaic power generation Scientific memberships include: Sigma Xi - The Scientific Research Honor Society (2022) International Statistical Institute (ISI) Bernoulli Society German University Association (DHV) He also contributes to public science communication through lectures on data science, climate change, and forensic statistics. His technical expertise covers generalized linear models, machine learning methods, and stochastic energy market modeling.
University Medical Center Hamburg-EppendorfGermany
Jennifer Sauvigny is a Physician Scientist at the Department of Neurosurgery , Universitätsklinikum Hamburg-Eppendorf, affiliated with the Medical Faculty of the University of Hamburg. Her work bridges clinical neurosurgery, medical technology evaluation, and neurocritical care research, with a focus on improving outcomes for patients with complex neurological conditions. Key research areas include neurocritical care analytics, brain tumor classification, cerebrovascular surgery, and digital microscopy applications in neurosurgical workflows. She has developed machine learning models for predicting shunt dependency and intracranial hypertension using intensive care unit data. Her publications emphasize technical innovations (e.g., 3D4K exoscope systems) and clinical challenges in subarachnoid hemorrhage, glioblastoma treatment, and postoperative bone resorption. Recent articles demonstrate expertise in machine learning integration for neurological outcome prediction and DNA methylation-based tumor classification . Collaborations span neurosurgery, radiology, and critical care medicine across multiple institutions.
University Medical Center Hamburg-EppendorfGermany
Privatdozent Dr. med. Jörn Grensemann serves as an Associate Professor at the Clinic for Intensive Care Medicine within the Medical Faculty of University Medical Center Hamburg-Eppendorf. With over 60 publications documented in the research portal, his academic career demonstrates sustained productivity and scholarly contribution to critical care medicine. His clinical expertise spans neurocritical care, mechanical ventilation, and advanced airway management techniques. Dr. Grensemann's research program focuses on optimizing critical care for patients with neurological emergencies, particularly those with aneurysmal subarachnoid hemorrhage and traumatic brain injury. His work investigates energy expenditure patterns in critically ill patients, the effects of oxygen therapy on neurological outcomes, and pharmacokinetic alterations in patients with organ failure. Notably, he has contributed to advancing airway management through comparative studies of videolaryngoscopy versus traditional approaches, with multiple randomized controlled trials examining device efficacy in difficult airway scenarios. His recent publications reveal an expanding research portfolio incorporating machine learning approaches for outcome prediction and physiological monitoring. The 2024 publication on early prediction of ventricular peritoneal shunt dependency using routine ICU data exemplifies his innovative approach to integrating artificial intelligence with clinical practice. His scholarly output spans original research articles, review papers, and expert commentaries across leading intensive care journals. Scientific Contributions: Multiple randomized controlled trials on airway management devices Research Themes: Neurocritical care monitoring, ventilation strategies, pharmacokinetics in organ failure Collaborative Networks: Strong interdisciplinary connections with neurosurgery, anesthesiology, and internal medicine departments Dr. Grensemann actively mentors medical students and residents in the intensive care setting, though specific names of advisees are not documented in the available materials. His clinical work focuses on complex critical care cases, particularly those involving neurological emergencies and multi-organ failure. The presence of forthcoming publications through 2025 indicates ongoing research activity and scholarly contribution to the field. His laboratory work centers on translational research at the intersection of bedside observation and systematic investigation, with current projects examining auditory stimulation effects in brain-injured patients and advanced monitoring techniques to optimize critical care delivery. This research direction reflects his commitment to developing innovative approaches that bridge clinical practice and scientific investigation in intensive care medicine.
University Medical Center Hamburg-EppendorfGermany
Christina Mayer is a Professor of Neurology at the University of Hamburg's Medical Faculty. She leads research in neuroimmunology, neurodegenerative diseases, and vascular neurology at the Universitätsklinikum Hamburg-Eppendorf (UKE). Her work focuses on mechanisms of neurological damage in multiple sclerosis, stroke, and post-infectious conditions like Long-COVID-19. Mayer's interdisciplinary approach combines clinical research with advanced imaging (e.g., OCT, PET) and machine learning to predict disease outcomes and identify novel biomarkers. Key clinical interests: Neuroinflammation, optic neuritis, cerebral edema management, and autonomic dysfunction Translational research: Developing neuroprotective strategies targeting potassium channels and mitochondrial dysfunction Led studies on post-thrombectomy fluid management and early prediction of shunt dependency in hemorrhagic stroke patients Her research has been published in high-impact journals with a focus on translating basic science discoveries into clinical practice. Mayer actively participates in the Acute Optic Neuritis Network and contributes to international clinical trial design for neuroimmunological disorders.
Nikolaus Plesnila is a Professor of Experimental Stroke Research and Head of the Laboratory at the Institute for Stroke and Dementia Research (ISD) within the Medical Faculty of Ludwig Maximilian University of Munich. As a full member of the Graduate School of Neuroscience (GSN), he leads research focused on developing novel stroke therapies through pathophysiological investigations. His primary research areas include experimental stroke models (transient/permanent focal cerebral ischemia, global ischemia, subarachnoid hemorrhage), cerebral microcirculation analysis via intravital microscopy, neurovascular stress mechanisms, vasculodegeneration processes, and small vessel disease pathophysiology. His work specifically examines microcirculatory dysfunction in acute and chronic stroke syndromes using advanced methodologies like conventional and 2-photon excitation microscopy. Analysis of his 2012-2016 publications reveals consistent focus on experimental stroke mechanisms, traumatic brain injury complications, and therapeutic interventions. Key thematic trends include microthrombosis in parenchymal vessels, neurovascular reactivity alterations post-subarachnoid hemorrhage, microRNA biomarkers in brain injury, pericyte involvement in vascular dementia (CADASIL), and innovative treatments like nitric oxide inhalation for ischemic stroke. Prof. Plesnila currently supervises PhD candidate Bernhard Groschup and has graduated several doctoral students including Matilde Balbi, Kathrin Nehrkorn (née Schüller), and Susana Valero Freitag. He directs the Experimental Stroke Research laboratory at the ISD, University Hospital of LMU Munich, where his team investigates stroke pathophysiology using translational approaches.
Sajjad Muhammad is a Professor at the School of Medicine , Heinrich Heine University Düsseldorf , leading the Neurovascular Research Unit within the Department of Neurosurgery at University Hospital Düsseldorf. His research focuses on neuroimmune interactions post-subarachnoid hemorrhage (SAH), emphasizing: Identification of molecular biomarkers for intracranial aneurysm rupture risk and SAH complications Development of immunomodulatory therapies targeting DAMPs, HMGB1, and cytokine axes Translational models bridging bench-to-bedside using cellular/animal models and patient samples Recent publications highlight his work on T cell dynamics (2021), HMGB1 as a vasospasm biomarker (2018), and metabolic-immune interactions (2014). The lab utilizes single-cell analysis and maintains a neurovascular biobank for clinical translation. Collaborations span neurosurgery, immunology, and critical care disciplines.
