جستجوی استاد راهنمای دانشگاهی

Professor Hutan Ashrafian is a clinician-scientist and surgeon at the University of Leeds Business School, holding dual roles as Professor of Research Impact and Senior Research Fellow at Imperial College London. His expertise spans AI in healthcare, metabolic surgery, and ancient history. He pioneered STARD-AI and QUADAS-AI guidelines for AI diagnostics, collaborated on AI-driven breast cancer screening with Google and NHS, and led global health policy initiatives. Ashrafian’s work bridges medicine, history, and philosophy, including his contributions to understanding historical figures’ medical conditions, such as King Tutankhamun’s epilepsy. He has authored over 550 publications, 12 books, and holds a PhD in computational physiology and an MBA with distinction. Awards include the Hunterian Prize and Wellcome Trust Fellowship. His research also explores AI ethics, quantum physics paradoxes, and art-based medical diagnostics. Education: PhD in Computational Physiology (Imperial College London) MBA (Warwick Business School) MD (University College London) Bachelor of Science in Immunology (University College London) Research Interests: Ashrafian’s work spans: AI in Medicine: Diagnostic algorithms, guideline development (STARD-AI/QUADAS-AI), and ethical frameworks. Metabolic Surgery: Bariatric interventions, gut microbiome, and obesity treatments. Ancient History: Medical analyses of historical figures (e.g., Tutankhamun, Julius Caesar) and art-based pathology identification. Philosophy: AI rights (AIONAI law), temporal paradoxes, and the Simulation Argument. Awards: Royal College of Surgeons Arris and Gale Lectureship Hunterian Prize Wellcome Trust Research Fellowship Advising & Innovation: Supervised >50 PhD students, co-founded Oxford Medical Products (weight loss tech), and serves as CSO at Flagship Pioneering’s Preemptive Health division. He advises on NHS digital transformation and global health policy. Labs/Teams: Leads AI initiatives at Imperial’s Institute of Global Health Innovation and collaborates with Google, NICE, and international institutions on health tech solutions.

• Artificial Intelligence in Medicine
• Metabolic Surgery
• Health Policy
• +۴ مورد دیگر

Ehsan Azimi is an Assistant Professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Arizona, where he is also a member of the Graduate Faculty. His research bridges human-AI interactive systems, extended reality, robotics, and human-centered design, with a strong focus on medical applications. His research interests lie in creating synergistic human-AI systems that enhance medical procedures through advanced technologies. Key areas include extended reality for surgical navigation , robotics in minimally invasive surgery , and intelligent user interfaces . His work has led to innovations in smart glasses calibration, intraocular robotic snakes, needle steering, and digital twins for surgical training, all aimed at improving precision, safety, and learning in medicine. The recent articles highlight a consistent trend in medical robotics , augmented reality in surgery , and human-robot collaboration . These works span from hardware development to AI-driven interfaces, emphasizing real-time interaction, user experience, and clinical applicability across disciplines like ophthalmology, otology, and surgical education. Scientific Awards: Siebel Scholar Provost Postdoctoral Fellowship Link Fellowship Ehsan actively mentors students and scholars in research projects, indicating a strong commitment to academic advising. While specific grant details are not listed, his patented technologies and publication record suggest successful funding and translational research outcomes. His work has been featured in Engineering Magazine and other media, reflecting its impact and innovation. His research is conducted within an interdisciplinary lab environment focused on human-centered AI and medical robotics, integrating expertise from computer science, engineering, and clinical medicine to develop next-generation surgical and training systems.

• Human-AI Interaction
• Extended Reality
• Robotics
• +۷ مورد دیگر

Ana Cristina Manso serves as Associate Professor, Vice-Rector, and Member of the Scientific Council at Egas Moniz University Institute. She directs multiple Preventive and Community Dentistry courses within the Integrated Master's Degree in Dentistry program and serves as a researcher at the Egas Moniz Interdisciplinary Research Center. Her clinical practice includes work at the Oral Health Unit - Clinical Center at the Bankers' Union of the South and Islands. Her educational background includes a PhD in Research in Stomatology (2008) from the University of Granada and a Dentistry Degree (1993) from the Higher Institute of Health Sciences South. She has completed numerous specialized trainings including Pedagogical Training, Quality Assurance Systems, and Social Responsibility seminars at Egas Moniz. Manso's research focuses on geriatric oral health, preventive dentistry, and community-based dental care. Her work examines self-perception of oral health among elderly populations using tools like GOHAI, investigates halitosis treatments including cinnamon-based solutions, and studies caries prevention through remineralization techniques. She has published extensively on dental erosion, temporomandibular disorders, and socioeconomic factors affecting oral health outcomes in Portuguese populations. Her recent publications reveal strong trends in geriatric dentistry and health disparities research, with significant focus on oral health literacy, socioeconomic determinants of oral health, and interdisciplinary approaches to managing conditions like xerostomia and temporomandibular disorders. Methodologically, her work combines clinical trials, cross-sectional analyses, and systematic reviews. Manso has supervised 57 master's dissertations (co-supervising 20), 1 doctoral thesis (co-supervised), and 2 undergraduate theses. Her research projects include ADAPTAR - Projeto EduCom and the Egas Moniz Interdisciplinary Research Center (UID/BIM/04585/2019). She actively participates in quality assurance initiatives as a Member of the Quality Assurance Commission for Egas Moniz Teaching. As Director of the Egas Moniz Interdisciplinary Research Center, she leads research on community dentistry and oral health promotion. Her work extends to social responsibility initiatives including oral health programs for prison populations and elderly community outreach through the 'Primeiro Dente, Primeira escovagem' program.

• Oral Health
• Geriatric Dentistry
• Dental Caries
• +۷ مورد دیگر

Philipp Neumann is a Professor and Chair of High-Performance Computing at Helmut Schmidt University since 2019. Previously, he held roles including Senior Researcher at the German Climate Computing Center (2016–2019), Postdoc at the University of Hamburg (2017–2019), and completed his Habilitation in Scientific Computing at TU Munich (2019). He transitioned to DESY/Universität Hamburg in May 2024. Education : PhD (Dr. rer. nat.) in Scientific Computing at TU Munich (2008–2013) Habilitation in Scientific Computing at TU Munich (2019) Studies in Technomathematics at Friedrich-Alexander University Erlangen-Nuremberg (2003–2008) Research Interests focus on high-performance computing, parallel and distributed systems, computational science, and applications in climate modeling. His work bridges computational methods with medical challenges, including surgical simulation training, wound healing mechanisms, and gastrointestinal pathology. Professional Activities include leadership roles in major conferences such as steering committee member for ISPDC (since 2021) and program committee roles in IPDPS, ICCS, and IEEE Cluster. He also managed the DFG priority program SPPEXA (2013–2016). Labs/Teams include the Chair for High-Performance Computing at Helmut Schmidt University and collaborations with the German Climate Computing Center. His current work at DESY/Universität Hamburg likely expands these computational efforts into interdisciplinary research.

• High-Performance Computing
• Scientific Computing
• Parallel and Distributed Systems
• +۴ مورد دیگر

Professor Emanuele (Manuel) Trucco is the NRP Chair of Computational Vision in the Department of Computing, School of Science and Engineering, at the University of Dundee. He holds additional roles as an Honorary Clinical Researcher at NHS Tayside and formerly served as an Adjunct Professor at the Chinese Academy of Sciences from 2018 to 2021. He earned his MSc and PhD in Electronic Engineering from the University of Genoa, Italy, in 1984 and 1990, respectively. His research focuses on medical image and data analysis, particularly in retinal imaging, using machine and deep learning techniques. He is co-director of VAMPIRE, a major international initiative in retinal image analysis, which supports biomarker studies in cardiovascular disease, diabetes, dementia, and neurodegenerative disorders. His recent work includes AI-driven tools for predicting dementia from brain scans and cardiovascular risk from retinal images. The latest publications reflect strong trends in applying deep learning to retinal and brain imaging for early disease detection, with themes centered on AI in healthcare, precision medicine, and non-invasive diagnostics. FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Professor Trucco has led and co-led significant research projects funded by EPSRC, NIHR, and EU programs. He has supervised PhD students through industry-sponsored studentships (e.g., OPTOS, NIDEK, Toshiba) and collaborated with institutions such as the Universities of Edinburgh and Liverpool. His research is supported by extensive industrial partnerships including Canon Medical, Epipole plc, and NIDEK. He is a key member of the UK Biobank Eye and Vision Consortium and co-director of the VAMPIRE initiative, a collaborative effort between the Universities of Dundee and Edinburgh focused on retinal image analysis. His work also involves participation in major research networks such as the Academic Health Science Partnership in Tayside.

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +۷ مورد دیگر

Dr. Stanley J. Rogers is a Professor in the Department of Surgery at the University of California, San Francisco (UCSF), School of Medicine. He holds the Ruth M. Dunn Endowed Chair in Minimally Invasive Surgery and the His Majesty King Bhumibol Adulyadej, Rama IX Distinguished Professorship of Global Surgery. He serves as Interim Division Chief of General Surgery and directs the Bariatric Surgery Center, Liver Tumor Ablation Program, and Minimally Invasive Surgery Program. He is also a staff and trauma surgeon at Zuckerberg San Francisco General Hospital and Trauma Center, where he leads videoendoscopic surgery. University: University of California, San Francisco School: School of Medicine Department: Department of Surgery Role: Professor, Interim Division Chief, Director Email: stan.rogers@ucsf.edu Dr. Rogers' research and clinical expertise focus on minimally invasive and bariatric surgical techniques, particularly laparoscopic surgery, sleeve gastrectomy, gastric bypass, and liver tumor ablation. His work explores the metabolic and skeletal consequences of bariatric procedures, with a strong emphasis on calcium metabolism, bone health, and gut microbiome changes. He has contributed extensively to understanding complications and outcomes in gastrointestinal and metabolic surgery. His recent publications show a consistent trend in studying the long-term metabolic and skeletal impacts of bariatric surgery, particularly comparing sleeve gastrectomy and gastric bypass. Key themes include bone mineral density changes, calcium absorption, hormonal regulation (e.g., PYY), and the role of the gut microbiome. Many studies involve collaborations with endocrinologists and metabolic researchers, reflecting a multidisciplinary approach to surgical outcomes. Scientific Awards and Honors: Honorary Fellow, Royal College of Surgeons (2016) His Majesty King Bhumibol Adulyadej Rama IX Distinguished Professor of Global Surgery, UCSF (2012) Ruth M. Dunn Endowed Chair in Minimally Invasive Surgery, UCSF (2011) Fellow, American College of Surgeons (1995) Dr. Rogers has supervised numerous residents and fellows and is actively involved in clinical training. He has served as Principal Investigator and Co-Investigator on multiple NIH-funded grants, including studies on calcium absorption, sleeve gastrectomy effects, and anti-reflux surgery. His work has significant implications for improving postoperative care and long-term outcomes in bariatric patients. He is affiliated with several key programs at UCSF, including the Bariatric Surgery Center, the Liver Tumor Ablation Program, the Minimally Invasive Surgery Program, the Comprehensive Cancer Center, and the Institute for Global Health Sciences. His leadership extends to clinical trials on endoscopic techniques and bariatric revision surgery.

• Minimally Invasive Surgery
• Bariatric Surgery
• Laparoscopic Surgery
• +۷ مورد دیگر

Trenton R. Foster, M.D., is an Associate Professor of Surgery at Mayo Clinic College of Medicine, serving as a Consultant in the Division of Endocrine Surgery within the Department of Surgery. He holds multiple leadership positions including Associate Program Director for the General Surgery Residency Program and Associate Director of Student Clerkships Programs. Dr. Foster is also the Physician Lead for the Collaborative Endocrine Surgery Quality Improvement Program (CESQIP) and serves on several important committees including the Clinical Competency Committee and the Department of Surgery Equity, Inclusion, and Diversity Committee. Dr. Foster's research focuses on optimizing surgical management of endocrine disorders, with particular emphasis on determining appropriate surgical extent for thyroid cancer, improving preoperative localization for parathyroid disease, and refining diagnostic approaches for adrenal tumors. His work utilizes national and institutional databases to understand disease behavior and improve patient outcomes through evidence-based practice. Analysis of Dr. Foster's recent publications (2023-2025) reveals a strong focus on clinical outcomes research across the spectrum of endocrine surgery. His work addresses critical questions regarding optimal surgical approaches for thyroid, parathyroid, and adrenal conditions, with particular attention to minimally invasive techniques, long-term outcomes, and quality improvement initiatives. The research demonstrates expertise in analyzing complex surgical datasets to derive practical clinical insights that directly impact patient care. His scientific achievements include: 2025 Focused Practice Designation in Adult Complex Thyroid and Parathyroid Surgery from the American Board of Surgery 2019 Dennis Wasson, M.D. Award for Outstanding Graduating Chief Resident from Yale University Multiple research awards from 2015-2016 including the SVS Foundation Resident Research Prize and Department of Surgery Best Basic Science Research Award at Yale Golden Key National Honor Society membership during undergraduate studies Dr. Foster actively mentors residents and medical students through his roles in the General Surgery Residency Program and student clerkships. He collaborates extensively with colleagues in endocrinology, radiology, and pathology to provide comprehensive, multidisciplinary care for patients with endocrine disorders. His research directly informs clinical practice, leading to improved preoperative evaluation, optimized surgical approaches, and enhanced postoperative care protocols while maintaining safety and effectiveness.

• Endocrine Surgery
• Thyroid Surgery
• Parathyroid Surgery
• +۷ مورد دیگر

Sandeep Kumar is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University, College Station. He holds a PhD in Computer Science from Purdue University (1995) and a B.Tech in Electrical Engineering from the Indian Institute of Technology, New Delhi (1985). His research focuses on computer security, networking, and system-level programming. Prior to academia, he worked in industry roles including at VMware in Palo Alto, CA. He currently teaches courses such as CSCE 313 (Introduction to Computer Systems) and CSCE 222 (Discrete Mathematics), emphasizing system software, networking, and cybersecurity. His teaching philosophy incorporates modern tools like GCP and Docker for practical learning. He advises students on technical projects but notes his non-tenure track role limits formal research supervision. Professional interests include curriculum design, educational technology, and bridging industry-academia gaps in cybersecurity. Education: Ph.D., Computer Science, Purdue University, 1995 M.S., Computer Science, University of Tennessee, 1987 B.Tech, Electrical Engineering, IIT Delhi, 1985 Research Interests: Computer Security, Networking, Operating Systems Teaching: CSCE 313 (Computer Systems), CSCE 222 (Discrete Math), CSCE 111 (Java Programming) Industry Experience: VMware (Networking & Security), Former Googler Awards: Hagler Fellow (2023), Google GCP Educational Grants Dr. Kumar’s work emphasizes practical system-level programming and security, with contributions to intrusion detection systems and secure enterprise networks. His courses integrate modern tools like RustRover and Docker, reflecting industry standards. He actively engages with educational technology, including LaTeX-based lecture materials and Gradescope integration.

• Computer Security
• Computer Networking
• Operating Systems
• +۳ مورد دیگر

Christian J. Hochstim, MD, PhD, is a Clinical Assistant Professor of Otolaryngology at the University of Southern California. His clinical expertise includes complex airway disorders, pediatric tracheostomy management, and vocal cord paralysis. He completed a pediatric otolaryngology fellowship at Stanford University and earned his PhD in developmental biology at Caltech. His research focuses on regenerative medicine strategies for airway reconstruction and preventing stenosis, leveraging stem cell technology. Dr. Hochstim’s education includes a dual MD/PhD, with postdoctoral training in head and neck cancer at Stanford. His research bridges developmental biology and clinical otolaryngology, addressing challenges in airway reconstruction and pediatric surgical outcomes. His clinical interests span aerodigestive disorders, obstructive sleep apnea, and cochlear implantation. He has published extensively on pediatric tracheostomy quality of life, biofilm-associated stenosis, and disparities in healthcare access. Notable studies include repurposing evolutionary gill gene programs for outer ear development and evaluating opioid-free anesthesia in OSA surgery. Key contributions include analyzing prognostic factors in pediatric fungal rhinosinusitis and investigating respiratory risks in endoscopic procedures. His work emphasizes translational research with clinical impact, particularly in underserved pediatric populations.

• Pediatric Otolaryngology
• Stem Cell Therapy
• Regenerative Medicine
• +۸ مورد دیگر

Benoit Rosa is currently a CNRS Researcher within the Robotics, Data science, and Healthcare technologies Team at the ICube Laboratory, University of Strasbourg. Previously, he was a Research Fellow at the Pediatric Cardiac Bioengineering Lab, Boston Children's Hospital, Harvard Medical School (2015-2016), and a postdoctoral fellow in the Robot Assisted Surgery group at the Mechanical Engineering department of KU Leuven, Belgium (2013-2015). He received his Ph.D. in 2013 from Pierre & Marie Curie University (now Sorbonne University) under the supervision of Pr. Guillaume Morel and Pr. Jerome Szewczyk. His PhD was awarded the best PhD thesis award by the CNRS research group on robotics for 2013. Prior to his PhD, he obtained an Engineering Degree (equivalent to a Master's) from Ecole Centrale Paris. Rosa's research focuses on surgical robotics and image-guided control, with particular expertise in the design and control of miniature, distally-actuated and flexible systems for minimally invasive surgery. His work spans from mechatronic design of minimally invasive surgical devices to advanced control algorithms for surgical robots. Key areas include continuum robotics, visual servo control, surgical tool segmentation, and OCT-guided interventions. His research has significant applications in cardiac surgery, endomicroscopy, and various minimally invasive procedures, with a strong emphasis on translating theoretical robotics into practical clinical solutions. His recent publications demonstrate a growing trend toward applying deep learning techniques to enhance surgical robotics, with focus on autonomous systems that improve precision and reduce surgeon cognitive load while addressing challenges in medical imaging and surgical navigation. Scientific Awards: Best PhD thesis award by the CNRS research group on robotics (2013) Rosa has led multiple significant research projects including Image-based tracking of continuum robots (ongoing), Robot-assisted endomicroscopy (2010-2013), Beating heart intracardiac cardioscopy-guided interventions (2015-2019), and Intuitive control of active catheters (2014-2015). His work has resulted in numerous patents and collaborations with leading medical institutions worldwide, securing research funding for advancing surgical robotics technology. He actively participates in the academic community through invited talks and workshops, and maintains strong collaborations with institutions including Harvard Medical School, KU Leuven, and various French research entities, bridging theoretical robotics with practical clinical applications across multiple medical specialties.

• Surgical Robotics
• Minimally Invasive Surgery
• Continuum Robots
• +۴ مورد دیگر

Behnam Sadeghirad is an Assistant Professor at McMaster University , specializing in Anesthesia . His work focuses on systematic reviews , network meta-analyses , and clinical epidemiology within anesthesiology, pain management, and public health. Research Interests : Anesthesia, Pain Management, Network Meta-Analysis, Public Health, Pharmacology, Critical Care Teaching Activities : Instructor for courses like Advanced Methods in Evidence Synthesis and Introduction to Biostatistics. Article Trends : His recent publications address ventilation strategies , opioid alternatives , interventional pain treatments , and methodological innovations in clinical research. Contact : Email sadeghb@mcmaster.ca . No scientific awards are explicitly mentioned in the provided data.

• Anesthesia
• Pain Management
• Systematic Reviews
• +۵ مورد دیگر

Sophia Bano is an Assistant Professor in Robotics and Artificial Intelligence at the Department of Computer Science, University College London (UCL), since November 2022. She is affiliated with the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Surgical Robot Vision group, UCL Robotics Institute, and the Centre for Artificial Intelligence. Previously, she was a Senior Research Fellow at WEISS, contributing to the GIFT-Surg project. Her research focuses on AI-driven techniques for context awareness, navigation, and surgical robotics in minimally invasive procedures, including endoscopic workflow analysis, 3D reconstruction, and surgical vision systems. Education: BEng in Mechatronics Engineering (NUST, Pakistan), MSc in Electrical Engineering (NUST), MSc in Computer Vision and Robotics (Erasmus Mundus VIBOT), PhD from Queen Mary University of London and Technical University of Catalonia (Erasmus Mundus Fellowship). Post-doctoral work at University of Dundee (EPSRC ACE-LP project) and Imperial College London (ERC STING project). Research interests include computer vision for surgery, medical imaging, surgical robotics, and AI in healthcare. She leads the UKRI EPSRC-funded 'AI-enabled Decision Support in Pituitary Surgery' project and contributed to the GIFT-Surg and CARES projects. Publications span 3D reconstruction in fetoscopy, surgical workflow recognition, and AI models for medical imaging. Awards include the IJCARS-MICCAI Best Paper Award (2020) and the Best Innovation Award at the 2022 Surgical Robot Challenge. She organizes conferences like EndoVis and serves as a reviewer for journals like IEEE Transactions on Medical Imaging and MICCAI.

• Computer Vision
• Surgical Robotics
• Medical Imaging
• +۳ مورد دیگر

Emanuele (Manuel) Trucco is a Professor of Computing and holds the NRP Chair of Computational Vision in the School of Science and Engineering at the University of Dundee. He is also an Honorary Clinical Researcher at NHS Tayside and previously served as an Adjunct Professor at the Chinese Academy of Sciences (2018–2021). His research is centered on computational vision and medical image analysis, particularly in retinal imaging and its applications in systemic disease detection. PhD, Electronic Engineering, University of Genoa (1990) MSc, Electronic Engineering, University of Genoa (1984) Manuel Trucco's research focuses on computer vision and medical image analysis , with a strong emphasis on retinal image analysis for early detection of diseases such as diabetes, cardiovascular conditions, stroke, dementia, and neurodegenerative disorders. He co-directs the VAMPIRE (Vessel Assessment and Measurement Platform for Images of the Retina) initiative, a collaborative effort between the Universities of Dundee and Edinburgh. This platform enables automated, multi-modal analysis of retinal images and has been used in biomarker studies across the UK and internationally. His work integrates deep learning , artificial intelligence , and biomedical engineering to develop non-invasive, scalable diagnostic tools. Industrial collaborations include Canon Medical, OPTOS plc, NIDEK, and Epipole plc, while institutional partners include the Royal College of Ophthalmologists and the UK Biobank Eye and Vision Consortium. Recent publications highlight a strong trend in using AI and deep learning to extract clinical insights from retinal images, including predicting cardiovascular outcomes in diabetic patients, estimating biological age, and analyzing retinal vasculature changes under physiological stress. His work bridges computer science, ophthalmology, and public health, contributing to precision medicine and health equity. His scientific contributions have been recognized through fellowships: FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Trucco has led or co-led major research projects, including a £7M NIHR grant on precision medicine for diabetes (Dundee-Chennai), a £1.1M EPSRC grant on vascular dementia biomarkers (PI), the 3M-Euro ITN "REVAMMAD", and several PhD studentships sponsored by OPTOS, NIDEK, SINAPSE, and Toshiba. He has served on the organizing and program committees of major international conferences such as MICCAI and the European Conference on Computer Vision. He is a key member of the VAMPIRE research team and the UK Biobank Eye and Vision Consortium , contributing to large-scale data analysis efforts in vision and systemic disease. His work is at the forefront of AI-driven healthcare innovation, with real-world applications in early disease detection and personalized medicine.

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +۷ مورد دیگر

Richard M. Rosenfeld is a Professor of Otolaryngology at SUNY Downstate Health Sciences University , Brooklyn, NY. He served as Department Chair and Residency Program Director for 13 years and is recognized globally as the #1 expert in tympanostomy tubes and #2 expert in otitis media (Expertscape.com). His expertise spans evidence-based medicine , guideline methodology , lifestyle medicine , and pediatric middle ear problems . Education : Hamilton College (undergraduate), University at Buffalo (MD), SUNY Oswego (MBA), University of Pittsburgh (MPH) Clinical Practice : 185 Montague Street, Brooklyn, NY 11201 Languages : Spanish, Russian Research Interests focus on systematic reviews , pediatric otolaryngology , chronic rhinosinusitis , and plant-forward nutrition . His work bridges ENT surgery with public health and guideline development . Recent Publications include guidelines on tympanostomy tubes , ankyloglossia , and opioid prescribing , with articles in The Lancet , NEJM , and Frontiers in Nutrition . Research trends emphasize quality improvement , non-opioid pain management , and lifestyle interventions . Scientific Awards : Five Distinguished Service Awards from AAO-HNS Legend in Otolaryngology, AAO-HNS Hall of Distinction Castle Connolly Top Doctor (1999–2023) New York Magazine Top Doctor (2002–22) Advising & Grants : No specific students or grants listed, but his leadership roles include Past Editor-in-Chief of Otolaryngology Head and Neck Surgery Journal and founder of the International Society for Otitis Media . Labs & Teams : Not explicitly mentioned, but his clinical work at SUNY Downstate integrates guideline development and quality improvement initiatives in otolaryngology.

• Otology
• Tympanostomy Tubes
• Otitis Media
• +۷ مورد دیگر

Natalia Imad Khalaf, MD, MPH, FACP is an Assistant Professor in the Department of Medicine at Baylor College of Medicine with dual appointments as Clinical Investigator in the Clinical Effectiveness and Population Health Program and Core Faculty in the Health Policy, Quality & Informatics Program at the Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. Her academic trajectory spans clinical gastroenterology, epidemiology, and health services research with focus on cancer outcomes. Her educational foundation includes: BA in Biological Sciences from Rice University (2007) MD from Baylor College of Medicine (2011) Internal Medicine Residency and Chief Medical Residency at Baylor College of Medicine (2014-2015) Gastroenterology & Hepatology Fellowship at Brigham and Women's Hospital (2018) MPH in Epidemiology from Harvard T.H. Chan School of Public Health (2018) Dr. Khalaf's research program centers on pancreatic cancer epidemiology, with emphasis on early detection biomarkers (particularly new-onset diabetes), metabolic risk factors, and healthcare system interventions. Her work integrates clinical gastroenterology with population health methodologies to address diagnostic delays, racial disparities in treatment, and implementation of evidence-based guidelines in gastrointestinal cancers. She actively develops risk prediction tools using health informatics and deep learning approaches. Analysis of her recent publications reveals a concentrated focus on pancreatic cancer pathophysiology and outcomes, with significant contributions to understanding pre-diagnostic metabolic changes, emergency presentation consequences, and diabetes-cancer linkages. Her colorectal cancer work examines screening adherence barriers and medication risk associations, while quality improvement research targets guideline implementation for gastric intestinal metaplasia. Her scientific recognition includes: AGA Academy of Educators Elected Member (2018) Bob Parsons Inaugural Fellow in Pancreatic Cancer Research (2017-2018) American Gastroenterological Association Early Career Investigator Recognition (2017) Soma Weiss Award for Clinical Teaching Excellence (2017) Dean of Medical Education Outstanding Resident Teacher Award (2013) Phi Beta Kappa Honor Society (2007) Dr. Khalaf directs multiple federally funded research initiatives including: VA Career Development Award: Health Informatics Approaches to Improve Early Diagnosis of Pancreatic Cancer ($1.09M, 2022-2026) National Academy of Sciences: Clinical Quality Measures for Gastrointestinal Cancers (2022-2027) Gordon and Betty Moore Foundation: Implementing Digital Quality Measures (2024-2025) American Pancreatic Association Young Investigator Grant (2019-2021) She operates within the IQuESt research ecosystem at the Michael E. DeBakey VA, leveraging the Clinical Effectiveness and Population Health Program infrastructure for her work on cancer diagnostic excellence, veteran health outcomes, and implementation science projects targeting gastrointestinal cancer care pathways.

• Pancreatic Cancer
• Gastroenterology
• Epidemiology
• +۳ مورد دیگر