جستجوی استاد راهنمای دانشگاهی

Knut Håkon Hole is an Associate Professor at the University of Oslo's Department of Radiology and Nuclear Medicine. His research focuses on diagnostic imaging applications in oncology, particularly in prostate and rectal cancers. He specializes in MRI, PET, and radiogenomics techniques to assess tumor biology, treatment response, and recurrence. Expertise: Prostate cancer imaging, neoadjuvant therapy response, tumor hypoxia, and imaging biomarkers Key affiliations: Oslo University Hospital (Rikshospitalet), Radium Hospital Research interests include: Developing MRI and PET protocols for cancer staging and recurrence detection Integrating imaging with genomic data (radiogenomics) Optimizing therapeutic approaches using imaging biomarkers Recent work highlights: Prostate cancer radiogenomics and hypoxia biomarkers (2024) MRI/PET comparisons for tumor localization (2021-2023) Neoadjuvant therapy response assessment in rectal and breast cancers (2020-2023) Publications span over 50 peer-reviewed articles with a focus on translational imaging research. Collaborates extensively with oncology and urology teams.

• Radiology
• Oncology
• Medical Imaging
• +۴ مورد دیگر

Øyvind Kirkevold is a Professor at the Department of Health Sciences Gjøvik at the Norwegian University of Science and Technology (NTNU). He also holds research roles at the National Center for Aging and Health at Vestfold Hospital HF and the Department of Geriatric Psychiatry at Innlandet Hospital HF. Research interests include geriatric psychiatry, aging, dementia, physical performance in older adults, home care service interventions, and resource planning in healthcare. His work emphasizes qualitative methodologies, geriatric assessment, and improving care for frail elderly populations. Recent publications focus on meaning in life for dementia patients, physical performance in prostate cancer survivors, crisis prevention for frail individuals, geriatric assessment interventions, and resource planning using the Nursing Activities Score. These studies span geriatric psychiatry, oncology, and healthcare logistics. Scientific awards : 2012 - Andrus Viidik Prize 2004 - Leon Jarner Research Prize Projects include active initiatives like screening for delirium, assessing consent capacity, prostate surgery outcomes, and completed projects on minority elder care. He collaborates with institutions such as Innlandet Hospital HF, Oslo University Hospital, and the National Center for Aging and Health.

• Geriatric Psychiatry
• Aging
• Health Sciences
• +۶ مورد دیگر

Lars Andreas Akslen is a Professor at the Department of Clinical Medicine, University of Bergen, and serves as the Centre Director of CCBIO (Centre for Cancer Biomarkers). He is based at Haukeland University Hospital and leads a major translational cancer research group focused on biomarker discovery and validation. Position: Professor, Centre Director of CCBIO Institution: University of Bergen Department: Department of Clinical Medicine Location: Haukeland University Hospital, Bergen, Norway Email: lars.akslen@uib.no His research is centered on translational oncology, with a strong emphasis on identifying and validating novel biomarkers for improved biological classification and grading of malignant tumors. His work spans breast cancer , malignant melanoma , prostate cancer , and gynecologic cancers . By integrating human tumor sample analysis with experimental cell and animal models, his team aims to enhance the clinical utility of biomarkers in predicting aggressive tumor behavior and guiding personalized treatment strategies. The recent publications highlight a consistent focus on tumor microenvironment, immune biomarkers, imaging mass cytometry, AI in diagnosis, and age-related phenotypes in cancer. There is a strong trend towards high-dimensional spatial profiling and integration of molecular and clinical data to refine prognostic and predictive models. Lars Andreas Akslen has no listed scientific awards in the provided text. He leads the Tumor Biology Research Group (established in 1995) and the CCBIO center, indicating significant mentorship and leadership in cancer research. While specific students are not listed, his extensive collaboration network suggests active supervision of PhD and postdoctoral researchers. No specific grants are mentioned, but leadership of a national research center implies substantial funding acquisition. He is affiliated with CCBIO and the Tumor Biology Research Group, both based at the Department of Clinical Medicine, University of Bergen, and operating from Haukeland University Hospital. These teams focus on translational cancer biomarker research using advanced molecular and imaging technologies.

• Translational Cancer Research
• Cancer Biomarkers
• Tumor Biology
• +۱۱ مورد دیگر

Alvaro Fernandez Quilez is an Associate Professor in Artificial Intelligence at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger. He leads the Stavanger AI Laboratory (SAIL), fostering interdisciplinary AI research with a focus on healthcare and education applications. Research Interests: His work centers on responsible AI, emphasizing ethics, fairness, transparency, and uncertainty in AI systems. He applies deep learning and machine learning techniques to medical imaging, particularly in prostate cancer and neurodegenerative diseases like Alzheimer’s and Parkinson’s. His research integrates algorithmic innovation with clinical relevance, addressing challenges in data scarcity, bias, and model interpretability. The recent publications highlight a strong trend in developing and evaluating AI models for diagnostic support in radiology and neurology. Key themes include uncertainty quantification, self-supervised learning, synthetic data generation via GANs, and fairness analysis across gender and centers. The work spans from foundational AI methods to their clinical translation in multi-center studies. Teaching and Academic Leadership: He coordinates the course DAT105 - AI for everyone and has contributed as a guest lecturer in bioinformatics, technological foundations, and PhD ethics, particularly on AI and ethics. He is also enrolled in a PhD supervisory qualification program, underscoring his growing role in graduate education. Advising and Grants: While specific students and grants are not listed in the text, his leadership of SAIL and active publication record suggest involvement in research supervision and project funding. His collaborations span multiple institutions and disciplines, indicating strong team-based research efforts. Laboratories and Teams: He leads the Stavanger AI Laboratory (SAIL), which serves as the central hub for AI research at the University of Stavanger, promoting collaboration across departments and with external partners in healthcare and technology.

• Artificial Intelligence
• Responsible AI
• AI Ethics
• +۱۳ مورد دیگر

Sara Margareta Cecilia Pilskog serves as an Associate Professor in the Department of Physics and Technology at the University of Bergen, Norway, with dual affiliation at Haukeland University Hospital's Department of Cancer Treatment and Medical Physics. Her research bridges theoretical medical physics and clinical oncology applications, focusing on precision radiotherapy techniques and biological optimization. Her primary research interests center on proton therapy innovation, where she investigates biological optimization strategies using linear energy transfer (LET) and relative biological effectiveness (RBE) modeling. She develops adaptive radiotherapy frameworks to address inter-fractional motion in pelvic cancers, particularly prostate and rectal malignancies. Her work also pioneers neutron-based in-vivo range verification systems and statistical deformation models for dose accumulation. Current projects emphasize reducing treatment margins through anatomical robustness and optimizing biological dose distributions for organ sparing. Analysis of her 15 most recent publications reveals a dominant focus on improving proton therapy precision for pelvic cancers through biological modeling and motion management. Approximately 70% of her work addresses prostate cancer applications, with significant contributions to adaptive strategies for inter-fractional changes and biological optimization techniques. Her research consistently employs Monte Carlo simulations (particularly FLUKA) and clinical data analysis to translate theoretical models into clinically viable solutions. No scientific awards were documented in the provided materials. While specific advising details remain unreported, her collaborative patterns indicate active mentorship within the University of Bergen's medical physics research ecosystem. Her publications consistently involve junior co-authors from clinical physics teams at Haukeland University Hospital, suggesting hands-on supervision of technical staff and research fellows in radiotherapy innovation projects. Grant funding appears primarily channeled through institutional hospital-university partnerships focused on clinical translation of advanced radiotherapy techniques. Dr. Pilskog operates within the University of Bergen's medical physics research cluster that maintains close operational ties to Haukeland University Hospital's radiotherapy department. This integrated academic-clinical environment enables direct implementation of her research on adaptive proton therapy and biological optimization into clinical workflows, with particular emphasis on pelvic cancer treatment protocols. The team utilizes advanced Monte Carlo simulation platforms and clinical treatment planning systems to develop and validate next-generation radiotherapy approaches.

• Medical Physics
• Radiation Oncology
• Proton Therapy
• +۳ مورد دیگر

Rune Sundset is an Associate Professor at UiT The Arctic University of Norway, affiliated with the Nuclear Medicine and Radiation Biology research group. His work focuses on radiopharmaceutical development, molecular imaging, and liposomal drug delivery systems. Research themes: Radioligand design, PET/SPECT imaging optimization, and nanoparticle-biology interactions Key collaborations: European Journal of Nuclear Medicine and Molecular Imaging, BMC Research Notes, and Acta Physiologica Recent publications highlight his contributions to: Development of Cu-67 and Ga-68 radiotracers for tumor imaging Liposomal formulations for arginase inhibition in cancer therapy Machine learning applications in dynamic PET imaging Sphingolipid effects on liposome uptake by human phagocytes In the SECURE project, he investigates radioligand therapy and imaging biomarkers. His research group (NMRB) spans nuclear medicine, radiation biology, and biomedical engineering, with applications in glioblastoma, prostate cancer, and neurodegenerative diseases.

• Nuclear Medicine
• Radiation Biology
• Radiopharmaceutical Development
• +۳ مورد دیگر

Astrid Dalhaug serves as a University Lecturer at the Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway. Her academic work focuses on clinical oncology with particular emphasis on cancer treatment outcomes in rural healthcare settings across Northern Norway. Dr. Dalhaug's research interests center on oncology, specifically radiotherapy, palliative care, and survival prediction models for cancer patients. Her work frequently addresses the challenges of delivering quality cancer care in remote regions with scattered populations. She investigates prognostic factors in various cancer types including prostate cancer, lung cancer, and brain metastases, with special attention to biomarkers, treatment fractionation, and demographic variables that influence patient outcomes. Analysis of her publication record reveals a consistent focus on developing and validating practical prognostic tools for clinical use, particularly the LabPS and LabBM scores. Her research demonstrates how serum biomarkers can enhance survival prediction accuracy across different cancer types and metastatic presentations. A distinctive feature of her work is the examination of rural healthcare delivery challenges and their impact on cancer treatment outcomes in Northern Norway's unique geographical context. Dr. Dalhaug maintains a highly productive research collaboration, most notably with Carsten Nieder, with whom she has co-authored numerous studies across multiple cancer types and treatment modalities. Her work spans clinical trials, retrospective analyses, and validation studies that contribute significantly to evidence-based oncology practice, particularly in resource-limited or geographically isolated settings.

• Oncology
• Radiotherapy
• Palliative Care
• +۴ مورد دیگر

Kjetil Wessel Andressen is an Associate Professor in the Department of Pharmacology at the Faculty of Medicine, University of Oslo. He is actively involved in research on heart failure, cellular signal transduction, and the development of new pharmacological targets for HFrEF and HFpEF. His work integrates molecular pharmacology, biosensor technology, and cardiac physiology. Andressen holds a Cand. Pharm. (2002) and a PhD (2008), both from the University of Oslo. His research focuses on GPCR signaling, cAMP and cGMP dynamics, and compartmentalized signaling in cardiomyocytes, with an emphasis on natriuretic peptides and phosphodiesterase regulation. He has developed and applied FRET-based biosensors to visualize real-time signaling events. His recent publications reveal a strong trend in understanding spatial organization of cyclic nucleotide signaling in cardiac cells, particularly in disease states. His work bridges molecular mechanisms with therapeutic implications in heart failure and receptor pharmacology. Member, Norwegian Society for Pharmacology and Toxicology Leader of Section of Pharmacology (2012–2016) Scientific Awards: No specific awards mentioned in the provided text. He advises no listed students but collaborates extensively with national and international researchers, including those from Oxford, Hamburg, Baylor College of Medicine, and Karolinska Institutet. He is involved in the Center for Heart Failure Research at Oslo University Hospital (OUS) and leads research groups on compartmentation of cardiac signaling and receptor pharmacology.

• Pharmacology
• Heart Failure
• Cellular Signal Transduction
• +۷ مورد دیگر

Manuela Zucknick is Professor and Director of the Oslo Centre for Biostatistics and Epidemiology at the University of Oslo's Faculty of Medicine, Department of Biostatistics. Her research integrates statistical learning with translational cancer research to advance personalized medicine through multi-omics data integration. PhD Biostatistics, Imperial College London (2008) MSc Bioinformatics, Imperial College London (2004) Diplom Statistik, University of Dortmund (2003) Her research focuses on Bayesian methods for integrating heterogeneous data sources in cancer research, particularly for drug response prediction in pharmacogenomic screens and patient prognosis. She develops structured high-dimensional regression models for 'large p, small n' problems in molecular medicine, with emphasis on incorporating prior biological knowledge into risk prediction frameworks. Her work bridges statistical methodology with clinical applications in personalized cancer therapies. Her recent publications demonstrate consistent contributions to multi-omics integration and survival modeling across diverse clinical contexts including cancer, pregnancy complications, and rheumatoid arthritis. The research shows strong methodological innovation in handling high-dimensional biological data while maintaining clinical relevance. Through the Oslo Centre for Biostatistics and Epidemiology, she leads collaborative projects spanning oncology, obstetrics, and rheumatology. Her work frequently involves designing statistical frameworks for pharmacogenomic screens and developing tools for biomarker discovery in complex disease settings.

• Statistical learning for translational cancer research
• Personalized cancer therapies
• Multi-omics data integration
• +۷ مورد دیگر

Guro F. Giskeødegård is a Professor in Biostatistics at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Public Health and Nursing in the Faculty of Medicine and Health Sciences. She leads research at the HUNT Center for Molecular and Clinical Epidemiology, focusing on metabolomics and molecular -omics analysis of biological samples from patients and population biobanks. Her work emphasizes understanding disease mechanisms and identifying biomarkers for improved diagnosis and treatment, particularly in cancer (breast, ovarian, prostate) and metabolic disorders. Key areas include: Analysis of large-scale biological datasets Exercise-induced metabolic changes in human milk Cancer survivorship and sexual health outcomes Prostate cancer biobanking protocols Longitudinal metabolomics in breast cancer treatment Recent studies highlight her work on: Metformin’s immunomodulatory effects in PCOS pregnancies PET/MRI imaging in lymphoma diagnostics Spatial transcriptomics of prostate cancer microenvironments Machine learning applications in radiomics No specific scientific awards are listed in the provided data. Collaborations span multidisciplinary teams including statisticians, clinicians, and bioinformaticians. Her research integrates molecular epidemiology with clinical translation, emphasizing population health impacts.

• Biostatistics
• Metabolomics
• Molecular -omics Analysis
• +۴ مورد دیگر

Tormod Skogstad Nilsen is an Associate Professor at the Department of Sport Science and Physical Education , University of Agder. His work bridges Exercise Physiology and Oncology , focusing on the effects of physical activity in cancer populations and muscle adaptation mechanisms. Research Interests: Cardiorespiratory fitness in cancer survivors Muscle cellular stress and adaptions Strength training during androgen deprivation therapy Blood flow restriction training Chronobiology in resistance exercise Publication Trends: His recent studies (2025-2008) emphasize randomized controlled trials in breast and prostate cancer populations, systematic reviews in exercise oncology, and molecular adaptations to resistance training. Key themes include cardiovascular risk reduction, epigenetic changes post-cancer, and time-of-day training effects. Collaborations: He works extensively with multidisciplinary teams across Scandinavia and North America, contributing to journals like JACC: CardioOncology , Medicine & Science in Sports & Exercise , and Acta Oncologica .

• Exercise Oncology
• Cardiorespiratory Fitness
• Strength Training
• +۲ مورد دیگر

Andreas Kleppe is an Associate Professor at the Department of Digital Signal Processing and Image Analysis, University of Oslo. His research focuses on integrating deep learning with medical imaging for cancer prognosis, particularly in gynecological and colorectal cancers. Research Interests Digital Signal Processing Medical Image Analysis Machine Learning Artificial Intelligence Deep Learning Medical Informatics Publication Trends Recent works emphasize deep learning for cancer outcome prediction, biomarker validation (e.g., DNA ploidy, L1CAM), and histopathological analysis. Collaborative studies span gynecological oncology, prostate cancer, and colorectal cancer, often leveraging automated staging markers. Labs/Groups He is affiliated with the Digital Signal Processing and Image Analysis (DSB) research group at UiO.

• Digital Signal Processing
• Medical Image Analysis
• Machine Learning
• +۷ مورد دیگر

Tormod Skogstad Nilsen serves as an Associate Professor at the Institute of Physical Performance at the Norwegian School of Sport Sciences. He holds both a master's degree and PhD from the same institution and is actively engaged in research on exercise interventions for cancer patients and survivors. His work bridges sports science and oncology, with a particular focus on understanding how physical activity can mitigate treatment side effects and improve quality of life. Dr. Nilsen's research interests center on exercise oncology, with special emphasis on strength training adaptations and muscle physiology in cancer contexts. His work spans multiple cancer types including prostate cancer (particularly examining effects of androgen deprivation therapy), breast cancer survivors, and patients undergoing various cancer treatments. He investigates how exercise impacts cardiovascular health, muscle function, and overall quality of life during and after cancer treatment. Analysis of his recent publication record reveals a strong focus on cardiorespiratory fitness outcomes in cancer survivors, with particular attention to breast cancer populations. His research employs diverse methodologies including randomized controlled trials, systematic reviews, and novel approaches to exercise dose reporting. A significant portion of his work examines the intersection of exercise physiology and cardiovascular health in cancer contexts, reflecting the growing field of cardio-oncology. As an educator, Dr. Nilsen serves as course leader for 'Exercise and Cancer' (THP303), a course developed in collaboration with Oslo University Hospital that provides certification as an AKTIV instructor through the Aktiv mot kreft foundation. He lectures extensively on exercise interventions for cancer patients and leads research studies investigating the effects of exercise on various side effects and late effects of cancer treatment. Dr. Nilsen is actively involved with the Norwegian Exercise Oncology Network (NEON) and collaborates extensively with Oslo University Hospital. His research program includes multiple clinical trials examining exercise interventions across different cancer types and treatment phases, with a particular emphasis on translating research findings into practical clinical applications for cancer rehabilitation.

• Exercise Oncology
• Strength Training
• Muscle Physiology
• +۲ مورد دیگر

Mattijs Elschot is an Associate Professor at the Norwegian University of Science and Technology (NTNU) within the Faculty of Medicine and Health Sciences. His research focuses on advancing medical imaging through the integration of artificial intelligence, with a particular emphasis on MRI and PET/MRI for prostate cancer diagnosis and treatment optimization. He actively contributes to the technical development of imaging protocols, reconstruction algorithms, and image analysis methods, bridging medical physics and clinical practice. Key Research Areas: Medical Imaging, Artificial Intelligence, Prostate Cancer, MRI, PET/MRI, Radiation Dosimetry, Image Processing, Machine Learning. His recent publications highlight trends in AI-driven prostate MRI segmentation, federated learning for cancer detection, and the clinical utility of advanced imaging techniques like MR Fingerprinting and attenuation correction. Elschot collaborates extensively with international teams to improve diagnostic accuracy and reduce unnecessary biopsies. He also develops tools such as CROPro for automated prostate MRI processing and explores radiomics reproducibility in clinical settings.

• Medical Imaging
• Artificial Intelligence
• Prostate Cancer
• +۵ مورد دیگر

Xiao-Mei Mai serves as Professor in the Department of Public Health and Nursing at the Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), where she has held continuous faculty positions since 2010. Her research is fundamentally anchored in the Norwegian HUNT study, a major population-based health cohort investigation spanning decades. Education: PhD in Medicine, Linköping University, Sweden (2003) Medical degree, Capital Medical University, China (1992) Research Focus: Professor Mai's work centers on causal relationships between Vitamin D status, obesity, and physical activity with chronic disease outcomes. She specializes in Mendelian randomization techniques to investigate connections between reproductive factors/sex hormones and cancer development, epigenetic mechanisms in disease pathways, and respiratory/metabolic disorder epidemiology. Her approach integrates molecular biology with population health data. Publication Trends: Recent work (2022-2025) demonstrates expanding applications of Mendelian randomization across diverse health domains including cognitive decline, oral health, and cancer subtypes. Vitamin D research remains central but now examines interactions with BMI and genetic factors across multiple physiological systems, reflecting increasingly sophisticated causal inference methodologies. Collaborative Framework: As a core HUNT study researcher, she operates within NTNU's interdisciplinary public health infrastructure, frequently collaborating with international teams across Canada, Sweden, and the UK Biobank consortium. Her work bridges epidemiology, clinical medicine, and molecular biology through large-scale data analysis.

• Epidemiology
• Cancer
• Causal Inference
• +۹ مورد دیگر