جست‌وجوی استاد و پژوهشگر

Edward Miaoمشاهده پروفایل

استاد

• Immunology
• Microbiology
• Cell Death Mechanisms
• +۵ مورد دیگر

Edward Miao, MD, PhD is a Professor at Duke University with dual appointments in the Department of Immunology and Department of Molecular Genetics and Microbiology . His research program centers on gastrointestinal innate immunity against infections in intestines and liver, utilizing both in vivo models and organoid cultures. Primary research areas: Inflammasome biology, Cell death mechanisms, Host-pathogen interactions Key model pathogens: Salmonella , Chromobacterium violaceum , Staphylococcus aureus Major discoveries: Caspase-7's role in intestinal epithelial extrusion, NLRC4 inflammasome's translocation sensing, Hepatocyte niche for bacterial infection Recent publication trends (2023-2025) focus on: Expanding inflammasome functions beyond canonical roles Comparative studies of gasdermin activation across species Novel insights into epithelial repair mechanisms Immune response dynamics in liver infections Reactive oxygen species in antibiotic tolerance Evolution of regulated cell death nomenclature Dr. Miao's laboratory has made significant contributions to understanding: How pathogens manipulate caspase activity Non-traditional roles of cell death proteins Organoid culture applications in infection biology Granuloma formation efficiency in liver infections

Lucy Jagerمشاهده پروفایل

استادیار

• Cytopathology
• Anatomic Pathology
• Clinical Pathology
• +۴ مورد دیگر

Lucy Jager, MD serves as an Assistant Professor in the Department of Pathology at Northwestern University's Feinberg School of Medicine, specializing in Cytopathology. She maintains dual board certification in Anatomic Pathology, Clinical Pathology, and Cytopathology through the American Board of Pathology, and is clinically affiliated with Northwestern Medicine. Her educational foundation includes: BS: Southern Methodist University (2009) MD: The University of Texas Health Science Center at San Antonio (2016) Residency: University of Colorado School of Medicine, Anatomic and Clinical Pathology (2020) Fellowship: Northwestern University Feinberg School of Medicine, Cytopathology (2021) Dr. Jager's research centers on advancing diagnostic precision in cytopathology through standardized reporting systems and practical diagnostic frameworks. Her expertise spans multi-organ systems including urinary tract cytology, adrenal gland diagnostics, salivary gland pathology, and challenging bone tumor cases. She actively contributes to developing evidence-based guidelines for cytopathology practice with emphasis on reducing diagnostic variability. Her 2022 publications reveal a cohesive research trajectory focused on creating standardized diagnostic pathways across diverse cytopathology subspecialties. Key themes include validation of reporting systems (Milan system for salivary glands), multi-institutional standardization efforts (adrenal gland cytology), and practical diagnostic algorithms for complex specimens (giant cell-rich bone tumors, urine cytology). This work consistently addresses diagnostic pitfalls and mimics across organ systems. Scientific Awards: No awards documented in current profile. Advising and Grants: Current profile contains no information regarding student mentorship, research grants, or funded projects.

• Genetics
• Cancer Research
• Breast Cancer Genetics
• +۴ مورد دیگر

Kristiina Aittomäki serves as a Supervisor in the Doctoral Programme within the Population Health Research Program Unit at the University of Helsinki, Faculty of Medicine. With an extensive publication record spanning over two decades, she has authored or co-authored 260 publications, demonstrating sustained research productivity through 2025. Her research interests focus primarily on genetics and cancer research , with specific expertise in breast cancer genetics, DNA repair mechanisms, and population-based genomic studies. She has made significant contributions to understanding hereditary cancer syndromes, particularly in the Finnish population context. Analysis of her recent publications reveals a strong emphasis on translational genetic research with clinical applications, particularly in cancer risk assessment and variant classification. Her work frequently involves large-scale collaborative projects like FinnGen, which leverages Finland's unique population structure for genetic discovery. Dr. Aittomäki has participated in significant research projects including the 'Consumer choice and personalized health services in maternal care' (2016-2019), demonstrating her engagement with both basic science and health services research.

• Signal Processing
• Machine Learning
• Computer Engineering
• +۳ مورد دیگر

Ehsan Namjoo serves as a Research Fellow in the Department of Electronics & Computer Engineering at the University of Limerick, with a primary affiliation at Lero – the Irish Software Research Centre. His multidisciplinary work bridges theoretical signal processing, machine learning applications, and hardware implementation for real-world systems. His research spans signal processing (DOA estimation under non-ideal noise conditions, EEG source imaging), machine learning (explainable AI for medical diagnostics, feature selection in cancer detection), and computer engineering (polar code decoders, visible light communication systems). Notable biomedical applications include breast cancer diagnosis and epileptic source analysis, while cybersecurity work focuses on intrusion detection in cloud environments. Recent publications (2021-2025) reveal a consistent trajectory toward developing lightweight, interpretable models for tabular medical data alongside robust signal processing frameworks for communication systems. His work increasingly integrates hardware-aware algorithms, particularly in polar coding implementations, and emphasizes practical validation through experimental demonstrations in visible light networks. As an active Lero researcher, Namjoo participates in Ireland's national software research ecosystem, contributing to interdisciplinary projects that connect theoretical innovations with healthcare, communications, and security applications through collaborative frameworks.

• Pediatric Oncology
• Neuro-Oncology
• Cancer Genomics
• +۲ مورد دیگر

Professor Steven Clifford is a faculty member at Newcastle University specializing in pediatric neuro-oncology, with primary focus on medulloblastoma—the most common malignant brain tumor in children. His research integrates molecular biology, clinical oncology, and translational medicine to improve therapeutic strategies for childhood brain cancers. His research interests center on molecular subgrouping of medulloblastoma, identification of metabolic vulnerabilities (particularly MYC-driven pathways), and optimization of clinical protocols through multicenter collaborations. Key areas include epigenetic regulation, tumor evolution, and biomarker discovery for precision medicine applications in pediatric patients. Recent publications (2024-2025) demonstrate consistent focus on molecular characterization techniques (bisulfite sequencing, metabolite profiling), clinical trial analysis (HIT 2000, SJMB03), and therapeutic target identification. His work frequently addresses radiotherapy late-effects, surgical outcomes, and consensus treatment guidelines through European research networks. Professor Clifford maintains active collaborations with SIOP-Europe and multiple international institutions, evidenced by co-authorship on large cohort studies involving over 1,100 patients. His research directly informs clinical practice through consensus guidelines and novel diagnostic approaches for molecular subgroup detection.

• Computational Biology
• Bioinformatics
• Mass Spectrometry Data Analysis
• +۵ مورد دیگر

Attila Kertesz-Farkas is a Hungarian-born academic currently serving as Assistant Professor at the Faculty of Computer Science, Department of Data Analysis and Artificial Intelligence, at the National Research University Higher School of Economics (HSE) in Moscow. Since 2021, he has also been Head of the Research and Educational Laboratory of Artificial Intelligence for Computational Biology. He joined HSE in 2015 after completing postdoctoral positions at the University of Washington and the International Centre of Genetic Engineering and Biotechnology. His educational background includes: Doctor of Science (2022) from National Research University Higher School of Economics PhD (2010) from University of Szeged Master's degree in Computer Science (2004) from University of Szeged Kertesz-Farkas's research focuses on the intersection of artificial intelligence and computational biology, particularly in mass spectrometry data analysis. His work spans computational proteomics, human gait analysis, and medical applications of machine learning. He develops novel algorithms for peptide identification, protein classification, and single-cell analysis, with applications ranging from cancer research to environmental contamination analysis. His research group actively explores how deep learning can improve the analysis of biological data that is inherently non-human readable. His scientific contributions have been recognized with several awards including a Letter of thanks from the Rector of HSE (December 2022), a Letter of gratitude from the Faculty of Computer Science (September 2021), and the Best presentation award at ICMLC 2023 conference. As an academic supervisor, Kertesz-Farkas mentors multiple PhD students working on diverse projects including generative models for mass spectrometry data, human gait control systems for prosthetics, and deep learning applications for single-cell analysis. His research is supported by the allowance for defending a doctoral dissertation (2022-2025) and various research projects at HSE. He leads the Laboratory of Artificial Intelligence for Computational Biology, which focuses on developing AI methods specifically tailored for biological data analysis problems. The laboratory conducts research in computational proteomics, medical applications of machine learning, and the development of tools for mass spectrometry data interpretation.

• Machine Learning
• Biostatistics
• Epigenetics
• +۴ مورد دیگر

Selçuk KORKMAZ is an Associate Professor in the Department of Biostatistics at Trakya University Faculty of Medicine. His interdisciplinary research bridges computational methods with biomedical applications, focusing on machine learning approaches for biological data analysis. Educational Background: Bachelor's Degree (2008): Ege University Faculty of Science, Department of Statistics Master's Degree (2011): Ege University Faculty of Medicine, Department of Biostatistics and Medical Informatics Doctoral Degree (2016): Hacettepe University Faculty of Medicine, Department of Biostatistics Dr. Korkmaz's research primarily focuses on machine learning applications in biostatistics, with particular emphasis on epigenetics, proteomics, and computer-aided drug design. His work demonstrates strong interdisciplinary connections between computational methods and clinical applications. He has developed novel approaches for biological assembly evaluation and protein-protein interface analysis during his visiting scientist position at the RCSB Protein Data Bank (University of California, San Diego) from April 2015 to March 2016. His recent publication trend shows a strong focus on developing computational tools (particularly R packages) for biomedical data analysis, with significant contributions in protein data bank interfaces, chemical database access, and biological variation analysis. His work spans multiple disciplines including bioinformatics, medical imaging analysis, and drug discovery applications. Dr. Korkmaz has served as an Assistant Professor at Trakya University since 2017 and was promoted to Associate Professor in 2021. Prior to this, he worked as a Research Assistant at Hacettepe University Faculty of Medicine Department of Biostatistics from June 2012 to November 2016.

Shannon E. Foghمشاهده پروفایل

دانشیار

• Integrative Oncology
• Radiation Oncology
• Brain Tumors
• +۴ مورد دیگر

Dr. Shannon E. Fogh is an Associate Professor in the Division of Radiation Oncology at the University of Washington School of Medicine and the Clinical Research Division at Fred Hutchinson Cancer Center. She is dual board-certified in Radiation Oncology and Integrative Medicine, specializing in brain tumors (primary/metastatic) and integrative approaches to cancer care. Her clinical practice focuses on maximizing patient quality of life through evidence-based integrative oncology. Education includes: BA in Psychology, University of Washington (1999) MS and MD from Boston University School of Medicine (2001, 2005) Radiation Oncology Residency at Thomas Jefferson University Hospital (2010) Integrative Medicine Fellowship at UCSF (2021) Her research bridges radiation oncology and integrative medicine, with emphases on: Microbiome-stress-cancer interactions Neurocognitive symptom mitigation ('chemo brain') Radiation toxicity reduction Integrative interventions for treatment side effects (e.g., esophagitis prevention) She has led national cooperative group trials and authored >60 publications. Publication analysis shows dominant themes in neuro-oncology (meningioma, glioblastoma), advanced radiation techniques, clinical trial design, and integrative symptom management. Recent work emphasizes precision radiotherapy and neuroprotection strategies. Dr. Fogh collaborates with multi-institutional teams (e.g., NRG Oncology) and mentors through the Osher Collaborative. No awards or students are explicitly documented in provided sources.

• Environmental Toxicology
• Cellular Resilience
• Genetic Buffering
• +۵ مورد دیگر

Andrea Rossi is a Research Group Leader at the Leibniz Institute for Environmental Medical Research (IUF) in Düsseldorf, Germany, where they lead the Environmental Adaptation and Cellular Resilience research group. Their work bridges environmental science and molecular biology, focusing on how pollutants influence cellular resilience and disease expression. The research group collaborates extensively with national and international institutions including Heinrich-Heine-Universität Düsseldorf, Leibniz Institute for Food Systems Biology, and ETH Zürich. Dr. Rossi's research interests center on understanding phenotypic plasticity in monogenic inherited diseases, particularly how environmental pollutants affect cellular resilience and trigger compensatory genetic mechanisms. Their work explores how cellular systems adapt under environmental stress with genetic mutations, develops advanced iPSC models for studying disease mechanisms, and employs whole-genome CRISPR screening to identify novel genetic modifiers. A significant aspect of their research investigates how cellular resilience mechanisms impaired during aging may contribute to age-related diseases. The research group's publications over the past five years demonstrate a strong focus on stem cell technology, genome editing, and environmental toxicology. Their work spans from basic molecular mechanisms to translational applications, with particular emphasis on developing precise genome editing techniques like Prime Editing and improving quality control standards for induced pluripotent stem cells. The research has important implications for understanding environmental influences on genetic diseases and developing new therapeutic approaches. Dr. Rossi's team includes postdocs Stephanie Binder and Jochen Dobner, scientific staff member Marianthi Papadopoulou, several master's students, and technical assistance from Vanessa Baltruschat. Their research is supported by multiple funding sources including the Leibniz Association, German Research Foundation (DFG), AFM Téléthon, and the European Union. The Environmental Adaptation and Cellular Resilience group operates several cutting-edge projects including modeling environmental pollution effects on taste perception using organoids, investigating genetic buffering mechanisms, improving Prime Editing efficiency, analyzing genome editing risks, studying epilepsy in mitochondrial diseases, and enhancing hiPSC quality control standards. These projects employ advanced techniques including iPSC modeling, CRISPR screening, and multi-omics approaches.

• Hematology
• Oncology
• Lymphoma Genomics
• +۳ مورد دیگر

Marie Fredslund Breinholt serves as a Clinical Associate Professor at the Department of Clinical Medicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. Based at Rigshospitalet (Blegdamsvej 3, 2200 Copenhagen N), she maintains clinical and research activities through her affiliation with the Capital Region of Denmark (Region Hovedstaden). Her research specializes in hematological malignancies , with intense focus on B-cell lymphoma genomics and molecular diagnostics . Key interests include genetic heterogeneity in lymphoma tumors, therapy resistance mechanisms , and biomarker discovery for precision oncology. She pioneers the clinical implementation of next-generation sequencing in lymphoma diagnostics, bridging genomic research with real-world patient management. Analysis of her 2023-2025 publications reveals consistent thematic focus: Investigation of TP53 and NOTCH1 as critical biomarkers for treatment outcomes Characterization of spatial and temporal genetic heterogeneity through multi-site and paired biopsies Translational validation of genomic profiling for routine diagnostic use Her work demonstrates strong clinical relevance with multiple publications generating significant academic discussion (Scopus citations) and media attention. Dr. Breinholt maintains extensive national collaborations across Danish medical institutions, particularly with Rigshospitalet-based research teams. Her co-authorship network includes prominent hematologists and molecular pathologists, reflecting her integrated role in clinical-translational research consortia focused on improving lymphoma diagnostics and therapeutic strategies.

Ellen Goossensمشاهده پروفایل

استاد

• Fertility Preservation
• Spermatogenesis
• Stem Cell Transplantation
• +۳ مورد دیگر

Prof Dr Ellen Goossens is a Professor in Basic Biomedical Sciences at Vrije Universiteit Brussel (VUB), affiliated with the Faculty of Medicine and Pharmacy. She chairs the research group Biology of the Testis, focusing on spermatogonial stem cell cryopreservation, transplantation, and in vitro differentiation. Her work addresses fertility preservation for cancer patients and transgender individuals, with over 80 publications and international recognition, including the 2011 Royal Belgian Academy for Medicine Prize. Education: Biomedical Sciences (VUB, 2000), PhD in Testis Biology (VUB, 2006). Postdoctoral training and lab coordination roles followed, culminating in her current leadership position. Research Interests: Fertility preservation, stem cell transplantation, testicular tissue banking, Klinefelter Syndrome mechanisms, and regenerative medicine applications. Her lab explores clinical and ethical aspects of restoring fertility post-oncology treatment. Key Projects: Includes FWOAL1023 (fertility preservation in boys), SEGa (stem cell-derived gametes ethics), and GROWSPERM (in vitro strategies for male infertility). Recent work on gender-affirming hormone therapy's impact on testicular stem cells has gained international attention. Awards: 2011 Dr. Luc Broeckaert Prize for fertility preservation research. Active in professional roles: ESHRE Andrology Officer, associate editor for reproduction journals, and VUB exchange coordinator for biomedical sciences students. Labs/Teams: Leads the Biology of the Testis research group, collaborating on 3D imaging (3D-CELLMAP project) and international fertility preservation initiatives.

• Biostatistics
• Public Health
• Health Behaviors
• +۵ مورد دیگر

Dr. Loki Natarajan is a Professor in the Division of Biostatistics & Bioinformatics at the University of California, San Diego (UCSD), within the Herbert Wertheim School of Public Health & Human Longevity Science. She holds a PhD in Mathematics from UC Berkeley and has over 20 years of experience as a Principal Investigator in clinical trials and biostatistical research. Her work focuses on developing statistical methods to analyze health behaviors, particularly using wearable sensor data, and improving outcomes in chronic diseases like diabetes, cardiovascular disease, and cancer. Dr. Natarajan’s research integrates ‘omics data and behavioral interventions, with notable contributions to accelerometer-based physical activity analysis, sedentary behavior patterns, and prognostic modeling in diabetic kidney disease. She leads the UCSD Biostatistics PhD program and teaches advanced courses in statistical learning and public health biostatistics. Her funded projects include NIH grants on metabolomic signatures in kidney disease, behavioral interventions for low-income seniors, and genomic predictors of breast cancer survival. Key publications include studies on functional data analysis of physical activity patterns, machine learning applications in accelerometer data, and clinical trials evaluating sleep interventions during chemotherapy. Dr. Natarajan’s work emphasizes translating statistical innovations into actionable public health strategies, with a focus on aging populations and underserved communities.

• Forensic Medicine
• Forensic Pathology
• Radiology
• +۳ مورد دیگر

Nadia Solomon is a Clinical Fellow in the Section of Emergency & Trauma Radiology within the Department of Radiology and Biomedical Imaging at Yale School of Medicine, while also pursuing her PhD in the Investigative Medicine Program through the Yale Graduate School of Arts and Sciences. She completed her radiology residency at Yale, where she was selected for the ABR Holman Research Pathway and served as Chief Resident. Dr. Solomon's research focuses primarily on forensic radiology applications, particularly the use of imaging techniques in postmortem investigations and cause of death determination. Her work spans multiple subspecialties including child abuse imaging, emergency radiology applications, and global health imaging initiatives. She holds the position of New York City Medical Examiner and serves as a forensic imaging consultant for the New York City Office of Chief Medical Examiner. Her publications from 2017-2022 demonstrate expertise across forensic radiology, emergency imaging, tropical medicine applications, and various specialized diagnostic imaging techniques. Notable research areas include postmortem CT applications, imaging in elder abuse cases, and diagnostic imaging of parasitic diseases in endemic regions. Dr. Solomon has received training across multiple disciplines, with publications spanning forensic pathology, tropical medicine, emergency radiology, and specialized diagnostic imaging techniques. Her collaborative work appears in prominent radiology journals including RadioGraphics and academic forensic pathology publications. Her educational background includes an MD and MSc in Tropical Medical Parasitology from St. George's University, an MA in Forensic Psychology from John Jay College of Criminal Justice, and a BA in Psychology from New York University. Her clinical training includes a medical internship at NYC Health & Hospitals | Elmhurst Hospital Center and radiology residency at Yale. MA in Forensic Psychology from John Jay College of Criminal Justice (2013) MSc in Tropical Medical Parasitology from St. George's University (2016) MD from St. George's University (2019) Internship at NYC Health & Hospitals | Elmhurst Hospital Center (2020) Radiology residency and Chief Resident at Yale Current PhD candidate in Investigative Medicine Program

Paul Cohenمشاهده پروفایل

استاد بالینی

• Gynaecological Cancers
• Ovarian Cancer
• Chemotherapy Resistance
• +۴ مورد دیگر

Paul Cohen is a Clinical Professor in the Division of Obstetrics and Gynaecology at the UWA Medical School, The University of Western Australia. He is also a Consultant at The Western Australian Gynaecological Cancer Service and a Clinical Research Fellow at the Harry Perkins Institute of Medical Research. His academic roles include editorial board memberships for International Journal of Gynecological Cancer and Scientific Reports . Education : Doctor of Medicine (MD), University of Auckland (2010), thesis: The Role of Oestrogen Receptor Beta in Ovarian Granulosa Cell Tumours BM BCh (Medicine), MA (Physiological Sciences), BA (Physiological Sciences), University of Oxford (1997–2001) Research Interests : Cohen’s work focuses on chemotherapy resistance in high-grade serous tubo-ovarian cancer, clinical trial design, and improving patient outcomes through innovations like the pathological chemotherapy response score (CRS). He leads national and international trials, including the Getting the MOST out of follow-up randomized controlled trial, and investigates genetic susceptibility (e.g., HELB gene in ovarian cancer). Recent Article Trends : His 2024–2025 publications emphasize genetic epidemiology, clinical trial implementation, and precision oncology, with contributions to understanding HPV-associated cancers and spatial transcriptomics in tumor microenvironments. Awards : 2024: UWA Medical School Excellence in Research (Mid-Career) 2022: UWA Excellence in Teaching Award 2021: Top Reviewer, International Journal of Gynecological Cancer Advising & Grants : Supervised 4 PhD, 3 MSc, and 3 MD students Principal Investigator for grants totaling over AUD 10M from MRFF, ANZGOG, and Cancer Research Trust Labs/Teams : Collaborates with ANZGOG, OTTA Consortium, and the Harry Perkins Institute of Medical Research. Leads the OVARIAN study and ADELE trial on endometrial cancer treatments.

Allah Buxمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Medical Image Analysis
• Deep Learning
• +۶ مورد دیگر

Allah Bux is a Research Fellow at the Department of Linguistic, Literary and Aesthetic Studies, University of Bergen. His work focuses on advanced computer vision techniques, medical image analysis, and deep learning applications. He holds expertise in 3D reconstruction, anomaly detection, and surveillance systems. His research interests include developing novel neural network architectures for tasks such as skin cancer diagnosis, head pose estimation, and human action recognition. He also explores spatiotemporal analysis and attention mechanisms in CNN models. Recent trends in his publications emphasize integration of vision transformers, dual attention networks, and transfer learning for solving real-world problems in healthcare, security, and education. No scientific awards or grants are explicitly listed in the provided text. He has no documented advisees. His research involves collaborations in medical imaging, autonomous surveillance systems, and educational data analysis, with a focus on practical applications of AI.