جستجوی استاد راهنمای دانشگاهی

• Medical Imaging
• Radiomics
• Machine Learning
• +۶ مورد دیگر

Renato Cuocolo is an Associate Professor at the Department of Medicine, Surgery, and Dentistry "Scuola Medica Salernitana" of the University of Salerno. He actively participates in multiple European radiology societies, including chairing the ESR eHealth and Informatics Subcommittee and contributing to EuSoMII and ESUR committees. MD from University of Campania "Luigi Vanvitelli" Residency in Radiology at University of Naples "Federico II" PhD in Biomorphological and Surgical Sciences at University of Naples "Federico II" His research focuses on radiomics and machine learning applications in medical imaging, with specific emphasis on: Prostate cancer MRI analysis Musculoskeletal and genitourinary radiology Neuroradiology Systematic reviews and meta-analyses Key contributions include: Quality-checking the PROSTATEx public prostate cancer MRI database Developing classification models for cartilaginous tumors (CT/MRI) Creating radiomics pipelines for endometrial cancer risk prediction He maintains active coding skills in Python and R for medical image analysis.

• Health Policy
• Clinical Practice
• End-of-Life Care
• +۱۳ مورد دیگر

Amber E. Barnato is the John E. Wennberg Distinguished Professor and Director of The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine, Dartmouth. She is also a Professor of Medicine. Her interdisciplinary roles span health policy, clinical practice, and health equity research. She holds an MD from Harvard Medical School, an MPH in Health Policy and Management from UC Berkeley, an MS in Health Services Research from Stanford University, and a BA in Physiology from UC Berkeley. Her academic journey reflects a deep commitment to improving healthcare systems and patient outcomes. Her research focuses on end-of-life care, physician communication, and health disparities. She investigates how organizational norms, implicit bias, and patient-provider interactions contribute to inequities in intensive care and life-sustaining treatments for seriously ill older adults. Her methodological expertise includes claims data analysis, qualitative interviewing, simulation studies, and behavioral trials. Her recent publications (2024–2025) reflect a strong trend toward digital health interventions for caregivers, behavioral nudges in healthcare leadership, racial disparities in cancer care, and innovations in advance care planning. These works span palliative care, oncology, health equity, and implementation science, demonstrating a cohesive and impactful research program. She has received the Distinguished Mentor Award from the University of Pittsburgh. Her scientific awards include continuous NIH funding since 2003 and leadership on over 25 extramural grants. She mentors extensively, having guided over 70 pre- and post-doctoral scientists and junior faculty. She leads major educational initiatives including the MPH, MS, MHCDS, and PhD programs at Dartmouth, as well as the Dartmouth Health Equity Research Pathways and the Levy Incubator, which supports healthcare delivery redesign. She leads the development of the Dartmouth Health Equity Atlas and oversees the Dartmouth Atlas of Health Care. She also founded ICUStoryWeb.org, a platform collecting family experiences in ICU decision-making.

Erika E. Ramsdaleمشاهده پروفایل

دانشیار

• Geriatric Oncology
• Polypharmacy Management in Elderly Cancer Patients
• Geriatric Assessment Implementation
• +۳ مورد دیگر

Erika E. Ramsdale, M.D. is an Associate Professor in the Department of Medicine, Hematology/Oncology at the University of Rochester School of Medicine and Dentistry. She practices at both Highland Hospital and Wilmot Cancer Institute in Rochester, NY, specializing in Hematology & Oncology with a particular focus on geriatric oncology. As part of the University of Rochester Medical Faculty Group (URMFG), she provides care within Accountable Health Partners, a network of over 2,000 community and UR medical faculty. Dr. Ramsdale's research interests center on geriatric oncology, particularly polypharmacy management, deprescribing interventions, fall risk assessment, and geriatric assessment implementation for older adults with cancer. Her work bridges clinical oncology with geriatric care principles to optimize treatment for elderly cancer patients. She has published extensively on medication management, symptom clusters, and risk assessment in this vulnerable population. Her recent publications demonstrate a strong focus on using both traditional clinical research methods and innovative approaches like machine learning to address challenges in geriatric oncology. She has contributed significantly to understanding polypharmacy effects, fall risk factors, and the implementation of geriatric assessment tools in oncology practice settings. Her work often involves multidisciplinary collaboration across oncology, geriatrics, and pharmacology domains. Hartford Foundation Center of Excellence Scholar (2012) American Society of Clinical Oncology Merit Award (2011) Resident Teaching Award, University of Chicago (2006) Post-Sophomore Fellowship in Pathology (2003-2004) Russell J. Eilers Scholarship, University of Kansas School of Medicine (2002) Clendening Fellowship in History and Philosophy of Medicine (2002) Dr. Ramsdale is actively involved in clinical care, research, and education. Her work with the Cancer and Aging Research Group demonstrates her commitment to improving care for older adults with cancer. She has contributed to developing telehealth geriatric assessment models and has addressed challenges in cancer care during the COVID-19 pandemic. Her research often focuses on practical interventions that can be implemented in community oncology settings to improve outcomes for elderly patients.

Christina Louise Lindhardtمشاهده پروفایل

دانشیار

• Patient Communication
• Healthcare Quality Improvement
• Medical Education
• +۵ مورد دیگر

Christina Louise Lindhardt is an Associate Professor at the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, and holds an Honorary Associate Professor position at Deakin University since 2023. Her work focuses on patient communication, medical education, and healthcare quality improvement. Active in cross-cultural adaptation studies for patient communication tools Develops innovative digital solutions for clinical training Researches motivational interviewing and compassion-based interventions Recent publications examine video consultation implementation in gynecological care, communication curriculum development for medical students, and specialized nursing roles in cancer care. She works extensively with qualitative methodologies and systematic reviews. Her projects include EU-funded initiatives like Changing Cancer Care and studies on technology integration in clinical practice. She has contributed to over 93 research outputs and participated in 50 activities since 2011.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۱۲ مورد دیگر

Neslihan Bayramoglu is a Senior Research Fellow at the Research Unit of Health Sciences and Technology (HST), Faculty of Medicine, University of Oulu, Finland. She was awarded the title of Docent in Medical Imaging in 2022. Her research spans artificial intelligence, machine learning, and computer vision, with a focus on medical imaging and musculoskeletal diseases. Key areas include deep learning for histopathology image analysis, computer-assisted diagnosis, image processing, shape analysis, segmentation, classification, and 3D image retrieval. She has pioneered early applications of deep learning in breast cancer histopathology and is currently advancing machine learning approaches for osteoarthritis (OA) analysis using imaging and clinical data. Her recent publications emphasize deep learning techniques for OA progression prediction, radiographic segmentation, and lightweight CNN architectures for diagnostic efficiency. She has contributed to transfer learning in histopathology and GAN-based virtual tissue staining. Scientific awards include the Docent title in Medical Imaging (2022). She teaches graduate-level machine learning courses and supervises M.Sc. and doctoral students. Her work aligns with the Diagnostics of Osteoarthritis (DIOS) research group and involves collaboration on musculoskeletal health projects.

• Public Health
• Occupational Health
• Chronic Pain
• +۷ مورد دیگر

Katarina Aili is a Senior Lecturer at Halmstad University's School of Health and Welfare , with an additional title of Associate Professor in Public Health Science . Her research focuses on early indicators of ill health, chronic pain, sleep disorders, and mental health in pediatric cancer survivors. Education: Dissertation at Karolinska Institutet (2015) on stress markers as predictors of wellbeing and workability Her research spans occupational health , osteoporotic conditions , and pediatric cancer survivorship , with recent work on ADHD sleep interventions and knee osteoarthritis progression. Articles show consistent focus on longitudinal studies , interventional trials , and population health trends . Key collaborations include R&D Spenshult for osteoarthritis research. While no scientific awards are explicitly mentioned, her work demonstrates sustained academic productivity through multiple RCTs , cohort studies , and qualitative analyses in pain management and sleep disorders.

• Pediatric Nursing
• Healthcare Quality Improvement
• Child Rights in Healthcare
• +۲ مورد دیگر

Britt-Mari Gilljam is a Senior Lecturer at the School of Health and Welfare, Halmstad University. Her research focuses on pediatric nursing, child rights in healthcare, and quality improvement through participatory methods. She leads specialist nursing initiatives centered on children's health and medical care. PhD in Health and Lifestyle (Nursing specialization) Head of specialist nursing with focus on health and medical care for children and young people Research Interests: Britt-Mari's work emphasizes children's participation in healthcare settings. She developed the ChiPaC instrument for measuring child participation and advocates for organizational improvements aligning with the Convention on the Rights of the Child. Her research spans pediatric care, chronic illness management, and digital health tools. Publications & Projects: Recent works include validated instruments like ChiPaC and Sisom for pediatric oncology care. These tools focus on enhancing communication, participation, and quality metrics in healthcare environments. Key Collaborations: Healthcare Improvement Research Group at Halmstad University

Andrea A. Cortinoisمشاهده پروفایل

استادیار

• Global migration and health
• Climate change and displacement
• Social costs of migration in countries of origin
• +۲ مورد دیگر

Andrea A. Cortinois is an Assistant Professor at the Dalla Lana School of Public Health, University of Toronto, Canada. Their work focuses on global migration and health, climate change impacts on displacement, social costs of migration in origin countries, and health equity in multicultural societies. PhD in Health Policy, Management & Evaluation (2008) from University of Toronto MPH in International Public Health (1995) from University of Wales College of Medicine Honours BSc in Human Biology (Immunology) (1990) from Universita’ degli Studi di Milano Research interests span technology's role in health equity, immigrant health services, and environmental determinants of public health. Their publications highlight critical perspectives on ICT applications in Latin America, urban health disparities in Canada, and globalization's effects on healthcare systems. Co-developed Toronto’s 2-1-1 healthcare services for immigrants Investigated digital health interventions in underserved Latin American populations Explored critical debates on technological determinism in global health Teaching responsibilities include graduate/undergraduate cross-listed courses on global migration and health, climate change impacts, and introductory global health classes.

Maryam Bostanaraمشاهده پروفایل

پژوهشگر

• Transport planning
• Econometric and statistical methods
• Machine learning
• +۱ مورد دیگر

Dr. Maryam Bostanara is a Researcher at the City Futures Research Centre (CFRC) , part of the School of Built Environment at the University of New South Wales (UNSW Sydney). She completed her PhD in 2024 at the Research Centre for Integrated Transport Innovation (rCITI) , School of Civil and Environmental Engineering , UNSW Sydney, with a thesis titled "Urban Dynamics and Household Decisions: Advanced Statistical Methods in Relocation, Land Use, and Transport Planning." She holds a BSc and MSc in Industrial Engineering (Systems Optimization) from Sharif University of Technology, Iran (2016 and 2018). Maryam’s research focuses on the intersection of transport and land-use, emphasizing behavioral models and data-driven approaches to urban sustainability. Her work integrates data visualization , machine learning , and econometric methods to analyze residential relocation, transport planning, and urban dynamics. A notable trend in her publications is the application of advanced statistical frameworks (e.g., DDCM, survival analysis) to study relocation behaviors, cycling infrastructure, and time-use patterns during crises like the COVID-19 pandemic. She has also contributed to interdisciplinary topics, including AI-driven healthcare analytics. Recipient of UNSW Women in Engineering Research Top-Up Scholarship Awarded Best research demonstration at TRANSW 2021 Maryam is supported by the Digital Grid Futures Institute Seed Funding (DGFI) 2024 and is affiliated with the CFRC, a leader in urban futures research. Her expertise spans transport modeling, behavioral economics, and data science, with a growing focus on health-related applications.

Shane T. Jensenمشاهده پروفایل

استاد

• Bayesian Multi-level Modeling
• Spatial Statistics
• Urban Analytics
• +۱ مورد دیگر

Shane T. Jensen is Professor of Statistics and Data Science at The Wharton School, University of Pennsylvania, where he has held a faculty position since 2004. His research integrates advanced statistical methodologies with real-world applications in urban environments and sports analytics, leveraging Bayesian multi-level modeling and spatial statistics to address complex societal challenges. Education: PhD, Harvard University, 2004 AM, Harvard University, 2001 MS, McGill University, 1999 BS, McGill University, 1997 Professor Jensen's research program exhibits strong interdisciplinary connections between statistical theory and practical implementation. His urban analytics work investigates how spatial interventions like vacant lot greening impact property values and crime patterns through rigorous spatial econometric modeling, while his sports statistics research has pioneered new evaluation frameworks in baseball (OpenWAR) and hockey analytics. The consistent application of Bayesian hierarchical methods across these domains demonstrates methodological cohesion despite topical diversity. Recent publications reveal a pronounced trend toward collaborative, data-driven solutions for urban challenges, with increasing focus on reproducibility (evidenced by the 2023 JASA Award) and translational impact. His sports analytics output maintains strong connections to professional applications through SABR recognition and frequent media engagement. Awards and Honors: Savage Award for best thesis, International Society for Bayesian Analysis (2005) David W. Hauck Award for Outstanding Teaching (2009) Sports in Statistics Award, American Statistical Association (2011) JASA Reproducibility Award (2023) Wharton Undergraduate Teaching Excellence Award (2021) Wharton Teaching Excellence Awards (2019, 2020) SABR Analytics Conference Research Award (2016) Professor Jensen maintains active research partnerships with Dylan Small on urban safety projects, as highlighted in Wharton Stories coverage of their big data approach to neighborhood safety. His frequent appearances on Knowledge at Wharton through 2025 discussing tennis, baseball, and basketball analytics demonstrate ongoing engagement with both academic and public audiences.

• Computational Logic
• Answer Set Programming
• Bioinformatics
• +۶ مورد دیگر

Alessandro Dal Palu' is an Associate Professor at the Department of Mathematical, Physical, and Computer Sciences at University of Parma. He holds a PhD in Computer Science from University of Udine and has been with University of Parma since 2005, transitioning from Researcher to Associate Professor in 2014. His teaching portfolio includes courses on Computer Architecture, Constraint Programming, and Algorithms & Data Structures. His research spans computational logic, bioinformatics, and GPU computing. Notable achievements include the 2007 GULP award for his Ph.D. thesis and the ICLP 2010 best paper award. He has led Italian INdAM-GNCS research projects on GPU applications (2011) and Logic Programming in cancer genomics (2016). Recent publications focus on explainable AI frameworks, bioinformatics applications, and sustainable logistics solutions. His work integrates Answer Set Programming with biomedical challenges like protein structure analysis and cancer genome evolution. He chairs the International Conference on Logic Programming (ICLP 2018) and has organized multiple international workshops on constraint programming. 2007 GULP Award ICLP 2010 Best Paper PI for INdAM-GNCS projects (2011, 2016) Program Committee member for international conferences

Huseyin Doganمشاهده پروفایل

استاد

• Human-Computer Interaction
• Artificial Intelligence
• Digital Health
• +۶ مورد دیگر

Professor Huseyin Dogan is a leading academic at Bournemouth University's Faculty of Science & Technology, specializing in Human-Computer Interaction and Digital Health . As Director of the Computing and Informatics Research Centre, he spearheads initiatives in Explainable AI , Assistive Technologies , and Systems Engineering . His work addresses critical challenges in healthcare equity through the NIHR Maternity Disparities Consortium and Maternal and Infant Health Equity Research Centre (MIHERC) , aiming to reduce inequalities via digital solutions. Engineering Doctorate (Loughborough University) MSc Human Computer Interaction with Ergonomics (University College London) BSc Computer Science (Queen Mary University of London) His research integrates AI , Cybersecurity , and Implementation Science to develop secure, equitable digital systems. Recent projects include: Digital tools for maternity health equity AI for police worker wellbeing Cyber resilience in defense systems Accessible authentication for disabled users Scientific recognitions include: 2025 IEEE Best Service Award 2025 IEEE Best Paper Award Google Research Funding (2025) As co-founder of the UK's first MSc Digital Health program, he shapes academic curricula while maintaining industry partnerships with organizations like Dstl, Google, and NHS Dorset.

Maggie A. DiGuardoمشاهده پروفایل

استادیار

• Cellular Therapies
• Molecular Genetic Pathology
• Transfusion Medicine
• +۳ مورد دیگر

Maggie A. DiGuardo, M.D., is an Assistant Professor of Laboratory Medicine at Mayo Clinic College of Medicine, affiliated with the Department of Laboratory Medicine and Pathology in Rochester, Minnesota. She holds dual appointments in Transfusion Medicine and Molecular Genetic Pathology. Medical School: Eastern Virginia Medical School (2014) Residency: University of Virginia (Clinical Pathology, 2017) Fellowships: Mayo Clinic (Transfusion Medicine & Molecular Genetic Pathology, 2018-2019) Dr. DiGuardo specializes in cellular therapies (bone marrow transplants, novel therapeutics) and immunohematology , with research focusing on molecular testing applications in clinical settings. Her recent publications address: Optimization of hematopoietic progenitor cell cryopreservation Transfusion challenges in daratumumab-treated patients Cold agglutinin disease management NUDT15 genetic testing in pediatric leukemia Scientific honors include board certifications in Transfusion Medicine (2019) and Molecular Genetic Pathology (2018). She actively contributes to clinical guidelines through leadership roles such as Co-Chair of the Lab Practices Committee at the International Society for Cellular Therapy (ISCT).

Murli Krishnaمشاهده پروفایل

استاد

• Liver Pathology
• Gastrointestinal Pathology
• Pancreatic Diseases
• +۳ مورد دیگر

Murli Krishna is a Professor in the Department of Laboratory Medicine and Pathology at Mayo Clinic in Jacksonville, Florida. With a career spanning over two decades at Mayo Clinic, he specializes in gastrointestinal and hepatobiliary pathology, liver transplantation, and endoscopic diagnostics. 1990-1996: Residency and Fellowship in Pathology (University of Massachusetts, Mayo Clinic) 1990: MB BS from LLRM Medical College His research focuses on liver disease mechanisms, pancreatic cancer pathogenesis, and endoscopic imaging techniques, with over 50 peer-reviewed publications. Recent work examines viral contributions to pancreatic carcinogenesis and hormone therapy effects on hepatic adenomatosis. Key publications include studies on portal hypertension, eosinophilic esophagitis, and transplant-related complications. Collaborations span oncology, gastroenterology, and radiology disciplines. He serves as Core Faculty in the Surgical Pathology Fellowship Program, directs CME courses, and contributes to clinical guidelines through roles in professional societies like the Hans Popper Hepatopathology Society.

Chirag R. Patelمشاهده پروفایل

مدرس پزشکی

• Pathology
• Surgical Pathology
• Gastrointestinal Pathology
• +۴ مورد دیگر

Chirag R. Patel, M.D. , is a pathologist at Mayo Clinic in Phoenix, Arizona. His affiliations include the Laboratory Medicine and Pathology department, with specific expertise in Anatomic Pathology , GI/Hepatic Pathology , and Digital Pathology . Education: MD (2013), BA (2011), both from University of Missouri; Residency (2017) and Fellowship (2018) at University of Missouri and University of Alabama at Birmingham, respectively. Certifications: American Board of Pathology (Anatomic & Clinical Pathology 2017, Clinical Informatics 2022) Dr. Patel's research bridges gastrointestinal pathology , hepatic diseases , and digital pathology . His work includes applying artificial intelligence to quantitate steatosis in liver transplants, molecular characterization of low-grade dysplastic lesions in inflammatory bowel disease, and immunohistochemical studies in CK7 patterns for liver disease diagnosis. His publications highlight liver transplantation , colorectal cancer , and viral impacts on gastrointestinal organs . Recent publications reflect trends in digital pathology integration, AI-driven diagnosis , and complex liver/gastrointestinal disease mechanisms . His work on B3GNT6 as a ganglion cell marker for Hirschsprung's disease and videoconference microscopy for Barrett's esophagus evaluation demonstrates innovation in diagnostic approaches. 2018: Outstanding Research Presentation - Pathology Trainee Research Day, University of Alabama at Birmingham 2015: Outstanding Resident Award - Kansas City School of Medicine, University of Missouri 2010: Pledge of the Year - Alpha Phi Omega Service Fraternity, Hope College Dr. Patel actively leads initiatives in digital pathology and medical education , serving as Medical Director for Digital Pathology and Histology Lab at University of Alabama at Birmingham. His mentorship extends through roles in residency selection, clinical competency, and professional development committees. His lab and team collaborations focus on multidisciplinary pancreaticobiliary disease , GI working groups , and digital pathology associations , emphasizing cross-institutional research and education.