جست‌وجوی استاد و پژوهشگر

• Cancer Genomics
• Epigenetics
• Bioinformatics
• +۲ مورد دیگر

Timothy J Triche is Professor of Pathology at the Keck School of Medicine, University of Southern California. He directs research in cancer genomics, epigenetics, and bioinformatics, with emphasis on pediatric malignancies. His laboratory develops computational tools for genomic analysis and focuses on translating molecular discoveries into clinical diagnostics. Research spans pediatric acute myeloid leukemia, prostate cancer, and sarcoma biology, integrating multi-omics approaches. Key interests include liquid biopsy development, epigenetic dysregulation, and gene fusion mechanisms in oncogenesis. Publications demonstrate consistent focus on molecular diagnostics and bioinformatic innovation, with recent work advancing single-cell analysis methodologies and non-invasive cancer profiling. Earlier foundational studies established mechanisms of fusion oncoproteins in sarcomas.

• Biomedical Engineering
• Fetal Monitoring
• Signal Processing
• +۴ مورد دیگر

SG Oei is a Professor at Eindhoven University of Technology in the Department of Electrical Engineering, affiliated with the Eindhoven MedTech Innovation Center and Biomedical Diagnostics Lab. His research focuses on developing novel technologies for maternal-fetal health monitoring, particularly in obstetric care settings. Research interests center on: Advanced fetal monitoring techniques including electrohysterography and non-invasive fetal electrocardiography Biomedical signal processing applications in perinatal care Development of AI-driven diagnostic tools for fetal distress detection Simulation-based obstetric training systems for low-resource settings Publication analysis reveals consistent focus on improving fetal monitoring through: Novel signal processing algorithms for cardiotocography interpretation Validation of non-invasive electrophysiological monitoring techniques Application of speckle tracking echocardiography in fetal assessment AI-powered diagnostic systems for high-risk pregnancies Extensive student supervision includes 28 doctoral candidates since 2010, with dissertations covering fetal cardiac function monitoring, electrohysterography applications, and obstetric simulation training. Research is conducted through the Biomedical Diagnostics Lab and Center for Care & Cure Technology Eindhoven.

Larissa Jansenمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Medical Imaging
• Cardiovascular Biomechanics
• +۳ مورد دیگر

Larissa Jansen is a Researcher at the Eindhoven University of Technology (TU/e) in the Biomedical Engineering department. She completed her PhD in 2024, focusing on developing novel 3D ultrasound imaging techniques for improved mechanical quantification of abdominal aortic aneurysms (AAAs). Her work addresses challenges in field of view, temporal resolution, and clinical decision-making for AAA management. She holds a BSc (2016) and MSc (2018) in Biomedical Engineering from TU/e, with an internship at the Auckland Bioengineering Institute, where she studied myocardial fiber orientations using MRI and finite element modeling. Research Interests : Medical imaging and ultrasound technology Cardiovascular biomechanics Abdominal aortic aneurysm diagnostics Image acquisition and processing Publications : Her recent work advances 3D ultrasound techniques for AAA assessment, including studies on distensibility quantification and imaging system optimization. These contributions highlight the potential of ultrasound for non-invasive mechanical characterization of blood vessels. Labs/Teams : She is affiliated with the Photoacoustics & Ultrasound Laboratory and the Eindhoven MedTech Innovation Center , collaborating on projects funded by the Dutch Research Council (NWO).

• Motion Sickness
• Autonomous Vehicles
• Human Factors
• +۳ مورد دیگر

Prof. Jelte Bos is the Endowed Professor at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam. He holds multiple endowed chairs: Neurocontrol, IBBA, AMS - Ageing & Vitality, and AMS - Rehabilitation & Development. His research focuses on motion sickness, autonomous vehicles, and human physiological responses. He leads the 'Driving Well 2' project and teaches the Sensomotorische Coordinatie course. With 130+ publications, his work addresses topics like vibration impact on equestrian sports, VR diagnostics for vestibular disorders, and mitigating car sickness via anticipatory cues. His research contributes to UN Sustainable Development Goals related to health and innovation. Education: MSc degree (as indicated in his title) Research Interests: Combining biomechanical analysis with sensory adaptation studies, particularly in transportation and virtual environments. His work bridges clinical applications (e.g., OKAN diagnosis) with engineering solutions (e.g., autonomous vehicle monitoring systems). Grants & Advising: Supervised 6 PhD theses. Principal Investigator for the 'Driving Well 2' project (2019–2022), focusing on driver well-being in automated systems. Labs/Teams: Collaborates on interdisciplinary projects involving biomedical engineering, transportation safety, and neurophysiology.

• Metabolomics
• Microbiome Medicine
• Nutrition and Metabolism
• +۷ مورد دیگر

Prof. Wang Yulan is a Professor of Metabolomics at the Lee Kong Chian School of Medicine (NTU) and Director of the Singapore Phenome Centre (SPC). She holds an honorary appointment at Imperial College London's School of Public Health. She earned her PhD in Physical Chemistry from the University of East Anglia (UK) in 1997. Her career includes postdoctoral research at the Institute of Food Research and John Innes Centre (UK), followed by roles at Imperial College London and the Chinese Academy of Sciences under the '1000 Talents Program.' Her research integrates NMR and LC-MS spectroscopy with computational modeling to study metabolic effects in infectious diseases and nutritional interventions. She leads the Singapore Phenome Centre, focusing on systems-level metabolic studies. Prof. Wang's work spans microbiome medicine, aging, and translational metabolomics applications. Education: PhD in Physical Chemistry, University of East Anglia, UK (1997) Research Interests: Metabolomics and systems biology approaches Microbiome-host interactions Metabolic biomarker discovery Applications in infectious diseases and public health Lab/Teams: Singapore Phenome Centre (SPC), collaborating with Dr. Low Yanwen Dorrain and international institutions.

• Gynecological Oncology
• Radiology and Medical Imaging
• Artificial Intelligence in Diagnostics
• +۸ مورد دیگر

Elisabeth Epstein is a Professor/Senior Physician at Karolinska Institutet, affiliated with the Department of Clinical Science and Education, Södersjukhuset. She leads the Gynaecological research team and is internationally recognized for expertise in gynecological ultrasound imaging and AI-driven diagnostics. Research Focus: Her work focuses on optimizing ultrasound techniques for cancer detection (endometrial, ovarian, cervical), AI integration in diagnostics, and educational innovations like game-based learning. Research also explores molecular subtypes of endometrial cancer and liquid biopsy applications. Awards & Recognition: Recipient of the 2024 Trainee Research Prize for best abstract in Imaging Informatics at the Radiological Society of North America. Grants & Funding: Swedish Research Council: AI/game-based learning for ovarian tumor diagnostics (2021–2023) Early resuturing RCT for perineal tears (2020–2024) Hormonal risk factors in breast cancer (2012–2015) Education & Leadership: Supervises PhD students like Linda Eriksson and teaches at international courses. Aims to foster a collaborative research environment through leadership and mentorship. Labs/Teams: Directs the Gynaecological research team and collaborates with institutions like KTH, Stanford University, and SciLife Lab.

• Cancer and Oncology
• Surgery
• Urology
• +۳ مورد دیگر

Professor Peter Wiklund is a Senior Physician and academic at Karolinska Institutet, affiliated with the Department of Molecular Medicine and Surgery. His research focuses on urological oncology, particularly prostate and bladder cancers, with a strong emphasis on surgical innovations like robotic-assisted procedures and molecular diagnostics. He leads the Urology research group within Olof Akre's team, contributing to advancements in precision medicine and surgical outcomes. Research interests include robotic surgery outcomes for radical cystectomy and prostatectomy, biomarker development (e.g., circulating tumor DNA), and optimizing therapies for non-muscle-invasive bladder cancer. His work spans clinical trials and translational research, addressing complications, oncological efficacy, and patient quality of life. Recent publications highlight advancements in robotic surgical techniques, biomarker utilization, and comparative efficacy of treatments like BCG vs. chemotherapy regimens. His contributions span high-impact journals such as *European Urology*, *BJU International*, and *World Journal of Urology*.

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

Andrea Ronco is a Researcher affiliated with the Department of Rehabilitation Engineering at ETH Zürich. His work focuses on advancing sensor technologies and their applications in biomedical engineering, autonomous systems, and IoT. He leads research in mmWave radar systems for non-invasive vital sign monitoring, in-ear gesture recognition, and low-power embedded sensor solutions. Professional Affiliation: Staff of Professorship for Rehabilitation Engineering Research interests span radar technology optimization, real-time signal processing for healthcare, and robust sensor fusion for autonomous vehicles. His recent work emphasizes miniaturization and energy efficiency in wearable and embedded systems. Key contributions include TinyssimoRadar and In-ear-voice platforms that integrate advanced sensing with minimal power consumption. Ronco's publications address challenges in sensor robustness against environmental conditions and real-world deployment scenarios. His research outputs demonstrate expertise in interdisciplinary domains combining electrical engineering, machine learning, and biomedical applications. Current projects likely explore next-generation sensing modalities for wearable health monitoring and smart infrastructure systems.

Robert Needhamمشاهده پروفایل

مدرس ارشد

• Sport Biomechanics
• Clinical Biomechanics
• Gait Analysis
• +۳ مورد دیگر

Robert Needham is a Senior Lecturer at Staffordshire University, specializing in Sport and Clinical Biomechanics. He holds a PhD in Biomechanics (2018) and has expertise in motion capture, electromyography, and gait analysis. His research focuses on movement coordination variability, clinical gait analysis, and biomechanical demands in sports. Needham has worked with Premier League Football Clubs, Stoke City FC, and GB Swimming/Athletics. He is a Fellow of the Higher Education Authority (FHEA) and actively reviews for journals like the Journal of Biomechanics and Gait & Posture. Teaching: Lead modules: Fundamentals of Exercise Physiology & Biomechanics (L4), Biomechanics & Kinesiology (L5), Applied Biomechanics (L6) MSc Clinical Biomechanics program leadership Research Interests: Non-linear data analysis for movement coordination Weightlifting biomechanics and footwear effects Rowing kinematics and chronic pain analysis Data visualization for biomechanical insights Awards & Grants: Royal Academy of Engineering grant (Engineering London 2012 project) Innovative biomechanics collaborations with Stoke City FC Key Contributions: Developed Vector Coding techniques for spine analysis Pioneered ambulatory sensor metrics for mobility impairment assessment Authored textbook chapters on clinical biomechanics

Jonathan P Ungarمشاهده پروفایل

استادیار

• Skin Cancer
• Dermatology
• Medical Education
• +۳ مورد دیگر

Dr. Jonathan P Ungar is an Assistant Professor of Dermatology and Medical Education at the Icahn School of Medicine at Mount Sinai. He serves as Medical Director of the Kimberly and Eric J. Waldman Melanoma and Skin Cancer Center, specializing in skin cancer diagnosis and treatment using advanced non-invasive techniques such as Mole Mapping, Optical Coherence Tomography, and Gene Expression Testing. He is affiliated with multiple Mount Sinai hospitals including The Mount Sinai Hospital, Mount Sinai Beth Israel, and Mount Sinai Brooklyn. Education : BA, Harvard University MD, State University of NY at Stony Brook School of Medicine (Alpha Omega Alpha inductee) Internship: Internal Medicine at Winthrop-University Hospital Residency: Dermatology at Mount Sinai Hospital (Chief Resident) Research Interests : Focuses on integrating cutting-edge technologies into skin cancer diagnosis, including AI-driven diagnostic tools and non-invasive imaging. Active in medical education, serving as Associate Director of the Dermatology Residency Training Program. Industry Relationships : Engaged in consulting roles with Janssen Biotech, Inc. and AbbVie, Inc. during 2024-2025. Labs/Teams : Leads diagnostic innovation initiatives at the Melanoma and Skin Cancer Center, collaborating on multi-modality imaging techniques.

• Machine Learning
• Computer Vision
• Medical Imaging Analysis
• +۵ مورد دیگر

Almabrok Essa is an Assistant Professor in the Department of Mathematics, Computer Science, and Data Science at John Carroll University. His research focuses on advanced machine learning techniques applied to medical imaging, computer vision, and signal processing. He holds a faculty position at Dolan Science Center E207 and can be reached via email at aessa@jcu.edu. His work bridges theoretical computer science with practical applications in healthcare, environmental monitoring, and security systems. Research interests include deep learning architectures for medical diagnostics (e.g., chest X-ray analysis and skin lesion segmentation), steganography for secure image transmission, and remote sensing technologies for geospatial analysis. He has pioneered methods like Multibit LSB matching for data hiding and developed frameworks like COVID-CLNet for pandemic response. His contributions span over 20 peer-reviewed articles from 2015 to 2025, showcasing innovations in face recognition algorithms, brain signal analysis, and environmental pattern recognition. Notable applied projects include real-time heart/respiration monitoring systems and automated machinery threat detection for infrastructure protection. His research demonstrates strong interdisciplinary potential, combining computational methods with domains like biomedical engineering, environmental science, and cybersecurity.

Sina Saffaranمشاهده پروفایل

استادیار

• Systems Medicine
• Computational Physiology Modeling
• Digital Twins
• +۴ مورد دیگر

Dr. Sina Saffaran is an Assistant Professor of Biomedical Engineering at the School of Engineering, University of Warwick, and a Royal Academy of Engineering Research Fellow. His research focuses on developing high-fidelity computational simulations for mechanistic modeling of the cardiopulmonary system, digital twins for personalized critical care, and AI-driven approaches to optimize mechanical ventilation for critically ill patients. He holds a PhD in Biomedical Engineering from the University of Warwick (2020) and has held research roles at UCL's CHIMERA centre and the Royal Academy of Engineering. Key research interests include: Systems medicine and translational computational physiology Personalized simulation and control technologies for critical care Noninvasive and invasive mechanical ventilation optimization AI integration in clinical decision-making Recent work emphasizes predictive modeling of ARDS, ventilator parameter optimization, and bias reduction in ICU datasets through computational simulations. His Royal Academy fellowship (2022) supports automated, individualized mechanical ventilation strategies. Awards include the 2020 Warwick Science Faculty Thesis Prize and Royal Academy Engineering Fellowship. His team includes 6 PhD students and collaborates with institutions like University of Nottingham, National University of Ireland Galway, and University Hospital of Modena. He teaches advanced control systems, biomedical engineering, and nonlinear control at Warwick. Research infrastructure includes high-performance computing platforms for parallelized optimization algorithms and collaboration with clinical partners in anaesthesia and intensive care medicine.

Emma Hodson-Toleمشاهده پروفایل

استاد

• Biomechanics
• Muscle Physiology
• Neurodegenerative Diseases
• +۵ مورد دیگر

Professor Emma Hodson-Tole is a leading researcher in neuromuscular biomechanics at Manchester Metropolitan University , where she investigates the interplay between skeletal muscle anatomy, physiology, and neurodegenerative diseases like Motor Neurone Disease (MND). Her work integrates ultrasound imaging and electromyography to develop innovative tools for measuring muscle health and disease progression. PhD from University of London (Structure & Motion Laboratory, Royal Veterinary College, 2007) Postdoctoral Fellow, School of Applied Physiology, Georgia Institute of Technology Current Professor of Neuromuscular Biomechanics at Manchester Metropolitan University Her research focuses on: Diagnosis and monitoring of neurodegenerative diseases Mechanisms of motor unit recruitment and variability in neuro-motor control Biomedical imaging techniques for skeletal muscle Applications of signal processing and computer vision in neuromuscular studies Recent publications highlight her work on: Evaluating digital monitoring tools for MND progression Age-related muscle changes and mobility limitations Ultrasound-based fasciculation detection Muscle architecture during dynamic movements Scientific awards include the Sir Henry Wellcome Postdoctoral Fellowship . Her projects, funded by the MRC MND Accelerator and The MND Association , aim to improve early MND diagnosis and personalized care through remote monitoring and advanced imaging. She collaborates with institutions like Kings College London , University College London , and healthcare providers in Salford and Sheffield. Teaching emphasizes skeletal muscle function and peripheral nervous system behaviors in courses such as BSc Human Physiology and MSc Human Physiology . She supervises undergraduate and postgraduate students and is involved in public engagement via projects like Star Cells , a neurophysiology-inspired dance collaboration with The Physiological Society .

Dawn Searsمشاهده پروفایل

استاد بالینی

• Gastroenterology
• Hepatology
• Disease Prevention
• +۴ مورد دیگر

Dawn Sears, M.D., is a Clinical Professor in the Department of Internal Medicine at UT Southwestern Medical Center and a member of its Division of Digestive and Liver Diseases. She provides clinical service at the North Texas Veterans Administration (VA-North Texas) in Gastroenterology and Hepatology, specializing in veteran care and medical education. Dr. Sears has held leadership roles including Associate Program Director and Program Director of the GI fellowship at Baylor Scott & White Health, and served as interim chief of the Central Texas Veterans Administration. Her research focuses on disease prevention, particularly in gastroenterology and hepatology, with notable contributions to Hepatitis C screening protocols influencing national legislation. Dr. Sears earned her bachelor's degree from Texas Women's University and her medical degree from Texas A&M University. She completed internal medicine residency and gastroenterology/hepatology fellowship at Scott & White Memorial Hospital. Her career emphasizes leadership development, having created mentorship programs for women in medicine and addressing physician well-being through anti-burnout initiatives. She has delivered over 100 invited lectures on topics including liver diseases, negotiation skills, and gender-specific physician issues, and serves as an executive coach for organizations like Scrubs & Heels (Women in Gastroenterology). Her research spans non-invasive liver disease diagnostics, electronic screening tools for Hepatitis C, and the impact of parental leave policies on healthcare professionals. Though no specific awards are listed, she has received multiple grants for her work with physicians and led significant institutional projects such as a six-suite endoscopy remodel and expansion of VA gastroenterology services. Her involvement in education extends to executive coaching and leadership training for high-level healthcare leaders.

• Medical Imaging
• Pediatric Cardiology
• MRI Reconstruction
• +۳ مورد دیگر

Dr. Qing Zou is an Assistant Professor in the Division of Pediatric Cardiology, Department of Pediatrics at the University of Texas Southwestern Medical Center (UTSW). He holds secondary appointments in the Department of Radiology and the Advanced Imaging Research Center (AIRC). His research focuses on medical imaging techniques, particularly magnetic resonance imaging (MRI), with an emphasis on pediatric cardiology applications. Dr. Zou’s work integrates deep learning and advanced reconstruction algorithms to address challenges in dynamic imaging, motion compensation, and undersampling problems. Education: Ph.D. in Mathematics/Computer Science (University of Iowa) Postdoctoral Training in Cardiac MRI (University of Iowa) Research Interests: Dr. Zou explores cutting-edge methodologies in MRI reconstruction, including deep learning-driven approaches for free-breathing and non-contrast-enhanced imaging. His projects address pediatric-specific needs, such as congenital heart disease diagnostics and rapid whole-heart angiography. He also investigates mathematical foundations of sampling theory and high-dimensional data analysis. Recent Research Trends: His publications highlight advancements in motion-resolved imaging, Gaussian representation-based reconstruction, and generative models for dynamic MRI. Key themes include improving temporal resolution, reducing imaging time, and enhancing vascular visualization without contrast agents. Awards: No honors or awards explicitly listed in the provided text. Advising & Grants: No formal advisees/students or grant details mentioned. His research is likely funded through institutional resources or collaborative grants. Labs/Teams: Dr. Zou is affiliated with the Advanced Imaging Research Center (AIRC) at UTSW, a hub for innovative imaging technologies and interdisciplinary research.