جست‌وجوی استاد و پژوهشگر

• Thoracic Oncology
• Medical Imaging
• Diagnostic Imaging
• +۵ مورد دیگر

Christopher Gange is an Assistant Professor of Radiology & Biomedical Imaging at Yale University, affiliated with the Yale School of Medicine. He serves as Fellowship Director for Thoracic Radiology and specializes in thoracic oncology imaging. His work focuses on improving diagnostic accuracy through advanced imaging technologies and machine learning applications. Education: BS in Biomedical Engineering, Boston University (2008) MMS in Medical Science, Drexel University (2008) MD in Medicine, Drexel University (2012) Radiology Residency, University of Rochester (2017) Thoracic Radiology Fellowship, Brigham and Women's Hospital (2018) Research Interests: Dr. Gange’s research integrates artificial intelligence and health informatics to optimize lung imaging techniques. He has pioneered studies on chest tomosynthesis advancements, pandemic-related imaging challenges (e.g., COVID-19), and incidental findings in lung cancer screening. Publications: His work spans over 20 peer-reviewed articles, emphasizing innovations in chest imaging, pandemic data analysis, and thoracic disease diagnostics. Key themes include machine learning for CT interpretation, pandemic-era imaging safety protocols, and standardized reporting frameworks. Advising & Grants: While no advisees are listed, his collaborative research teams include experts like Babina Gosangi and Ami Rubinowitz. He has contributed to multi-institutional studies funded by NIH and industry partnerships. Labs/Teams: Affiliated with Yale’s Cardiothoracic Imaging group and the Program for Innovation in Imaging Informatics, focusing on AI-driven radiology solutions and clinical data registries.

• Radiology
• Biomedical Imaging
• Medical Informatics
• +۳ مورد دیگر

Zenon Protopapas is a Clinical Assistant Professor in the Department of Radiology & Biomedical Imaging at Yale School of Medicine, Yale University. His academic background includes an MD from the Albert-Ludwigs University Freiburg (1986). His research spans medical imaging technology, particularly PACS systems, clinical radiology, and biomedical informatics. Key areas of focus include surgical outcomes in orthopedics, herbal medicine effects on neurodegenerative diseases, and comparative studies of pancreaticobiliary disorders. Over 30 publications highlight his contributions to radiology, urology, and epidemiology. Notable works address imaging informatics, diabetes-related receptor studies, and rabies surveillance in the US. No formal awards or grants are explicitly mentioned. Advising roles or lab affiliations are not documented in the provided texts.

• Urologic Oncology
• Bladder Cancer Research
• Prostate Cancer
• +۵ مورد دیگر

Dr. Wei Shen Tan, MD, PhD, FRCS, is an Assistant Professor of Urology at Yale School of Medicine, specializing in urologic oncology with expertise in bladder, prostate, and kidney cancers. He completed his Society of Urologic Oncology (SUO)-accredited fellowship at the University of Texas MD Anderson Cancer Center and a robotic urology fellowship at University College London Hospital. Dr. Tan is also an Honorary Associate Professor at University College London and a Fellow of the Royal College of Surgeons of England. Dr. Tan's research focuses on non-muscle-invasive bladder cancer (NMIBC), with particular interests in cancer diagnostics, novel treatments for bladder cancer, biomarker development, characterization of NMIBC, and optimizing perioperative outcomes through enhanced recovery protocols and robotic surgery. His work has resulted in over 100 peer-reviewed publications, with recent research emphasizing bladder-sparing therapies for BCG-unresponsive NMIBC, tumor stage impact on outcomes, and advancements in diagnosis and risk stratification. His publication trends show a strong focus on bladder cancer management, particularly BCG-unresponsive cases, with significant contributions to international guidelines and multi-institutional studies. Recent articles (2024-2025) predominantly address bladder-sparing therapies versus radical cystectomy, novel intravesical treatments, tumor staging implications, and international consensus recommendations for NMIBC management. Dr. Tan serves as a co-investigator in major clinical trials including DETECT I & II, HYMN, BOXIT, and HIVEC-II, and is on the editorial boards of the British Journal of Urology International and the Journal of Men's Health. His clinical approach emphasizes personalized care, minimally invasive robotic surgery when appropriate, and transparent communication with patients throughout their cancer journey.

• Laryngeal Neurophysiology
• Laryngeal Disorders
• Neuromodulation
• +۴ مورد دیگر

Dr. Michael Lerner is an Assistant Professor of Surgery (Otolaryngology) at Yale University School of Medicine. He serves as Director of the Voice Center at Greenwich Hospital and Director of Residency Research in Otolaryngology. His clinical expertise focuses on laryngeal disease, vocal cord disorders, and botulinum toxin treatments. He completed his MD at Tufts University and residency at Yale-New Haven Hospital, with a fellowship in laryngology at Mount Sinai West/Weill Cornell. Research interests include laryngeal neurophysiology, neuromodulation, and retrograde cricopharyngeus dysfunction. He has published extensively on topics like vocal fold paralysis, device-related injuries, and interdisciplinary medical practices. His work emphasizes improving patient outcomes through minimally invasive techniques and multidisciplinary collaboration. Education: BA, Brandeis University (2006) MD, Tufts University School of Medicine (2010) Otolaryngology Residency, Yale-New Haven Hospital (2015) Laryngology Fellowship, Mount Sinai West/Weill Cornell (2016) Publications highlight innovative approaches to vocal health, device safety analyses (e.g., endotracheal tubes, tracheostomy), and Medicare reimbursement trends in laryngology. He is affiliated with the Larynx Lab and actively involved in residency education.

• Neonatology
• Pediatrics
• Clinical Trials
• +۵ مورد دیگر

Dr Himanshu Popat is a Clinical Senior Lecturer at The University of Sydney and Senior Staff Specialist Neonatologist at The Children's Hospital at Westmead . He co-leads research at the Grace Centre for Newborn Intensive Care and chairs the NSW Newborn Intensive Care Unit Study (NICUS) group , which audits mortality and morbidity outcomes in high-risk infants. PhD in Neonatal Hemodynamics (2019) on Delayed Cord Clamping in Extremely Preterm Infants His research focuses on neuroprotective strategies for preterm infants, implementation science for proven interventions, and early cerebral palsy identification . Key projects include the WAMM Study (delayed cord clamping), NURTURE Study (brain oxygenation), and NEOSTeM Trial (stem cell therapy for neonatal stroke). Recent publications highlight chronic lung disease trends, developmental care education , and targeted oxygenation protocols for preterm infants. He has secured major grants including $2.9M MRFF funding for the WAMM Study and $1M Cerebral Palsy Alliance grant for the NEOSTeM Trial . NHMRC Clinical Trial Centre: Future Leader Fellow Research Foundation of Cerebral Palsy Alliance: AU$200,000 grant (2022-2024)

• Autism Spectrum Disorders
• Telehealth Applications in Healthcare
• Child Development
• +۳ مورد دیگر

Dr. Rebecca Sutherland is a Lecturer and Speech Pathologist affiliated with the University of Sydney's Sydney School of Health Sciences within the Faculty of Medicine and Health. She is also a member of the Brain and Mind Centre. Holding a PhD (2020) from the University of Sydney, her research focuses on telehealth applications for diverse populations, particularly children with language difficulties and autism spectrum disorder (ASD). Prior to her academic role, she worked in government and non-profit sectors, including positions at the Children's Hospital at Westmead and Griffith University's Autism Centre for Excellence. Her research interests include telehealth feasibility, ASD diagnosis and intervention, and speech-language pathology practices. Current projects include the TELE-ASD-PEDS study, exploring telehealth-based autism identification in young children. She has received the Sydney Health Partners Award (2022) for her work bridging research and clinical practice. Dr. Sutherland has contributed to grants such as the 2024 BMC collaboration on child neurodevelopment and mental health. Her publications emphasize telehealth innovations, echolalia in autism, and clinical assessment methodologies. Media engagements include discussions on telehealth during lockdowns and bilingual upbringing in ASD.

Emily Stephenمشاهده پروفایل

استادیار

• Neural Signal Processing
• Statistical Modeling
• Neuroscience
• +۳ مورد دیگر

Emily Stephen is an Assistant Professor in the Department of Mathematics and Statistics at Boston University. Her research focuses on statistical modeling of neural signals across spatial scales (spikes, LFP, ECoG, EEG/MEG), emphasizing the integration of anatomical and dynamical features to bridge micro- and macro-scale neural activity. She is affiliated with the Probability and Statistics research group and the BU Center for Systems Neuroscience, BU Neuroscience, and BU Neurophotonics Center. Her work aims to explain discrepancies in neural signals across scales and improve understanding of micro-scale dynamics underlying pathological states. She advises PhD students in Statistics and the Graduate Program in Neuroscience at BU. She maintains an active lab focused on developing models for neural signal analysis and collaborates with interdisciplinary teams in systems neuroscience and neuroengineering. Affiliations include the BU Math and Stats department, BU Neuroscience programs, and multiple interdisciplinary centers. She has published extensively on neurophysiological signal modeling, anesthetic effects on brain dynamics, and computational neuroscience tools. Her research integrates advanced statistical methodologies with neurobiological questions, emphasizing translational applications in clinical neuroscience.

• Prostate Cancer Research
• Molecular Pathology
• Genitourinary Pathology
• +۳ مورد دیگر

Peter A. Humphrey, M.D., Ph.D., is a Professor of Pathology and Director of Genitourinary Pathology at Yale School of Medicine. He holds a B.A. in Chemistry and Biochemistry, and an M.D. and Ph.D. in biochemistry from the University of Kansas. His career includes faculty roles at Duke University Medical Center and Washington University School of Medicine before joining Yale. Specializing in surgical and urologic pathology, his research focuses on prostate cancer's clinico-pathologic and molecular aspects, including diagnostic refinements and biomarker development. He is a past president of the International Society of Urological Pathology and the Arthur Purdy Stout Society of Surgical Pathologists. Key research areas include prostate cancer variants (e.g., pseudohyperplastic, microcystic), prognostic factors (e.g., Gleason grading, margin involvement), and biomarkers (e.g., AMACR, ERG). His work extends to kidney and testicular cancers, including rhabdoid renal cell carcinoma and SALL4 as a diagnostic marker for testicular tumors. Current projects involve multiphoton microscopy and AI-driven pathology tools. Humphrey has authored/co-authored textbooks such as Prostate Pathology and WHO Classification of Tumors of the Urinary System . He serves on editorial boards of major pathology journals and has over 360 publications. He actively contributes to professional societies and global pathology practice standards.

• Plastic and Reconstructive Surgery
• 3D Bioprinting
• Tissue Engineering
• +۴ مورد دیگر

Professor Iain Whitaker is a Clinical Professor and Chair of Burns & Plastic Surgery at Swansea University Medical School, with an honorary role at the Welsh Centre for Burns and Plastic Surgery. He leads the Reconstructive Surgery and Regenerative Medicine Research Group, the largest of its kind in the UK. His roles include Surgical Specialty Lead for Health & Care Research Wales and Academic Lead for the UK Plastic Surgery Training Committee. Whitaker graduated from Trinity Hall College, Cambridge University in 2001. He holds editorial positions at journals such as Frontiers in Surgery and Annals of Plastic Surgery . His research focuses on 3D bioprinting, tissue engineering, big data applications in surgery, and NLP for clinical workflows. He has secured over £4M in grants, overseeing a team of 8 Clinical Lecturers and 2 Foundation Academic Doctors. Key research themes include facial cartilage regeneration, lymphedema epidemiology, and AI-driven surgical quality assurance. Whitaker’s work bridges clinical practice and innovation, with contributions to global initiatives like the ICE-COVID trial for antiviral nasal sprays and burn service reorganization during the pandemic. Recipient of over 20 prestigious awards, including the Clarke Medal and Mentor Prize, he advocates for standardized skin cancer audits and telemedicine integration. Collaborations span academic institutions and industry, emphasizing translational research to improve patient outcomes.

• Biomedical Informatics
• Data Science in Healthcare
• Surgical Critical Care
• +۳ مورد دیگر

Megan Teixeira Kolanovic is a Clinical Affiliate Assistant Professor at Quinnipiac University's School of Health Sciences and holds multiple roles at Yale New Haven Hospital (YNHH). She serves as a Medical Information Officer for the YNHH Health System and a Clinical Informatician in Biomedical Informatics & Data Science. As a board-certified Physician Assistant (PA-C), she practices in General Surgery, Trauma, and Surgical Critical Care, covering specialties like Emergency General Surgery, Thoracic Surgery, and Orthopedics. Affiliations: Yale School of Medicine, Yale New Haven Hospital, Quinnipiac University Education: MHS in Physician Assistant Studies (Mercy College, 2011); BA in Speech Language Pathology (Iona College, 2006) Research & Teaching: Focuses on clinical informatics and medical education. Active in the American Academy of PAs. Recognized for teaching excellence and contributions to clinical informatics. Awards: Multiple YNHH clinical excellence awards including Extra Miler Award, Special Achievement Award, and Clinical Ladder II advancement Languages: English and Spanish

• Machine Learning
• Explainable AI
• Healthcare Data Analytics
• +۶ مورد دیگر

Dr. Alison O'Connor is an Assistant Professor at the University of Limerick , affiliated with the Department of Computer Science & Information Systems , Ageing Research Centre , and Lero – the Irish Software Research Centre . Her research bridges machine learning with mechanics of materials and healthcare data analytics , focusing on applications in structural integrity , Industry 4.0 , and medical informatics . Education : PhD in Mechanical Engineering (Imperial College London, 2015-2019), Graduate Diploma in Advanced Materials (2008-2009), and BSc in Aeronautical Engineering (2004-2008). Her research interests span explainable AI for healthcare decision-making, finite element analysis in nuclear steel integrity, and cold rolling process modeling . Recent publications highlight her work on agent-based patient pathway simulations and MRI texture analysis of traumatic brain injury. She contributes to journal peer-review and university committees as a core member. Publication trends show dual expertise: 50% in structural integrity and materials science, 50% in neuroscience and medical diagnostics . Key subfields include dopamine regulation , microdialysis techniques , and computational medicine .

Lars Markesteijnمشاهده پروفایل

مدرس ارشد

• Tropical Forest Ecology
• Functional Ecology
• Restoration Ecology
• +۶ مورد دیگر

Dr. Lars Markesteijn is a Senior Lecturer in Forest Science at Bangor University's School of Environmental and Natural Sciences and an Associate Professor in Ecology at Universidad Rey Juan Carlos in Madrid. His research focuses on tropical forest ecology, functional ecology, and plant-enemy interactions, particularly exploring mechanisms like negative density dependence (NDD) that maintain biodiversity. He holds a PhD in Tropical Forest Ecology from Wageningen University and has conducted postdoctoral research globally, including at the Smithsonian Tropical Research Institute (STRI) and institutions in the US and Germany. Education: PhD in Tropical Forest Ecology, Wageningen University (2010) MSc and BSc in Tropical Land Use, Wageningen University (2005, 2002) Research Interests: Markesteijn investigates how natural enemies (pathogens, herbivores), physiological traits, and environmental factors influence plant coexistence and diversity. Key areas include: Negative density dependence along humidity gradients Plant hydraulic strategies and drought tolerance Functional trait-based community assembly Publications & Grants: He has authored/co-authored over 30 peer-reviewed articles, including works on tropical seedling dynamics, TRY plant trait database contributions, and El Niño impacts. He secured grants like the NWO Rubicon Fellowship and the Beatriz Galindo Fellowship, and serves as an editorial board member for Frontiers in Forests and Global Change . Teaching: Coordinates modules on Forest Health and Ecological Restoration , contributing to courses on silviculture, tropical studies, and biodiversity-ecosystem functions. Awards: Beatriz Galindo Distinguished Researcher Fellowship (2020) NWO Rubicon Fellowship (2010) Labs/Teams: Collaborates with global networks like STRI, and leads projects on tropical forest regeneration and climate impacts.

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

Pokhraj Suthar is an Assistant Professor at Rush University's Rush Medical College, affiliated with the Department of Body Imaging. His research focuses on advanced imaging techniques, artificial intelligence applications in radiology, and diagnostic methodologies for various pathologies including neuroimaging, oncology, and cardiovascular conditions. His work emphasizes the integration of novel imaging modalities like PET/CT and MRI with AI-driven diagnostic tools, as seen in studies evaluating ChatGPT and LLaMA models in radiology. He has published extensively on topics such as cerebral venous thrombosis, leukoencephalopathy, and molecular imaging advancements in Alzheimer’s disease. Key research interests include AI performance evaluation in diagnostic accuracy, multi-modality imaging for complex cases, and the application of nuclear medicine in clinical settings. Collaborations with co-authors like Mustafa Mafraji and Sumeet Dua highlight his contributions to neuroradiology and body imaging. His articles often address case studies and imaging challenges, such as the role of CT in appendicitis and the analysis of uncommon syndromes like VEXAS. Despite no listed awards, his publications reflect active engagement in cutting-edge imaging research and clinical practice.

• Radiology
• Nuclear Medicine
• Rectal Cancer
• +۱۱ مورد دیگر

Marianne de Vries is a researcher in the Department of Radiology & Nuclear Medicine at Erasmus MC, Netherlands. Her work is centered on clinical and translational research in rectal and colorectal cancers, with a strong emphasis on imaging, treatment outcomes, and surgical decision-making. Her research interests include rectal cancer management, lymph node metastasis prediction, artificial intelligence in radiology, multimodal cancer therapy, and long-term surgical outcomes such as bowel continuity restoration. She frequently employs nationwide retrospective and cross-sectional study designs, contributing to evidence-based oncology and radiology practices. The recent publications highlight a trend toward integrating AI tools (e.g., GPT-4) into radiology reporting for improved patient understanding, while also focusing on real-world clinical challenges in rectal cancer staging and treatment variability across hospitals. Her work often involves large collaborative groups like the Dutch Snapshot Research Group and MIRECA. Marianne de Vries has no listed scientific awards or honors in the provided text. She has contributed to multiple peer-reviewed studies involving patient cohorts, treatment efficacy, and imaging-based diagnostics, but no formal advisees or grant funding details are mentioned. Her research is collaborative, often involving multidisciplinary teams across Erasmus MC and other national centers. She is involved in research teams focused on rectal cancer, radiology innovation, and surgical oncology outcomes, particularly through large-scale national studies assessing treatment patterns and clinical decision-making in colorectal cancer care.

• Machine Learning
• Biomedical Engineering
• Digital Health
• +۴ مورد دیگر

Björn Eskofier is a Professor at the School of Advanced Optical Technologies (SAOT) of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen). His research focuses on Machine Learning, Biomedical Engineering, Digital Health, and Sensor Technology with applications in stress detection, gait analysis, and radar-based biomedical monitoring. His 2025 publications demonstrate expertise in machine learning for physiological signal analysis , wearable sensor systems , and radar-based health monitoring across fields like stress response, sleep staging, and palliative care. Current work emphasizes multimodal data fusion and open-source biomedical frameworks . Key collaborations include University Hospital Erlangen , IEEE Engineering in Medicine and Biology Society , and European Health Psychology Society . His team develops EmpkinS emotion-based biofeedback systems and gaitmap open-source gait analysis ecosystem.