K. Vermeul works as a Researcher at the Applied Stem Cell Technologies department within the Faculty of Science and Technology at the University of Twente. With a background in Biomedical Laboratory Research from Saxion University of Applied Sciences, Vermeul has held technician roles at the University of Twente, Sanquin Research Amsterdam, and Beth Israel Deaconess Medical Center at Harvard Medical School in Boston, USA. Research interests include: 3D vascular and cardiac tissue engineering Microfluidic organ-on-chip systems Wnt signaling in mesenchymal stromal cells Oxygen sensing in engineered tissues Inflammatory responses in vascular models Recent publications focus on microfluidic platforms for vascular oxygen monitoring, immune-vascular interactions in coagulation, and automated cardiac tissue analysis. Vermeul manages laboratory operations, differentiates stem cells into cardiomyocytes and endothelial cells, coordinates health/safety/environment protocols, handles GMO permits, and instructs master's level practical courses.
Atul Anand is a Clinical Associate Professor and consultant geriatrician at the University of Edinburgh, working within the Centre for Cardiovascular Science under the Deanery of Clinical Sciences. He serves as clinical data lead for the DataLoch programme—a regional repository of health and social care data in South East Scotland—and actively mentors PhD students while leading major research initiatives focused on aging populations. His educational background includes a PhD in Cardiovascular Science (thesis: Clinical Biomarkers in Older Patients with Aortic Stenosis), a Bachelor of Medicine and Bachelor of Surgery, and a Bachelor of Science in Pathology, all foundational to his dual expertise in clinical geriatrics and cardiovascular research. Dr. Anand’s work centers on electronic health records (EHRs) to tackle challenges in multimorbidity , frailty assessment , and delirium detection among older adults. He develops predictive tools for rehabilitation needs using hospital admission data, including a pandemic-era triage system for frail elderly, and investigates cardiovascular outcomes through biomarkers like troponin. His research bridges clinical practice and data science to address gaps in elderly care representation. Analysis of his 2024–2025 publications reveals a strong emphasis on sex-specific cardiovascular risk models , delirium-dementia linkages , and systems engineering for care transitions . Key trends include leveraging UK-wide EHRs for multimorbidity clustering, refining frailty metrics via longitudinal studies, and optimizing myocardial infarction diagnostics for elderly populations using AI and biomarker kinetics. His sole documented scientific award is: British Geriatrics Society Rising Star Award for Research (2020) Dr. Anand secures significant grant funding as Principal Investigator for NIHR/EPSRC’s SET4 project (2023–2025) on systems engineering for multimorbidity care, ESRC’s data training initiative (2024–2025), and British Heart Foundation’s chest pain pathway redesign (2023–2025). He also co-investigated MRC’s MiRisk project (2021–2023) for personalized myocardial infarction care in older patients, advocating for inclusive clinical trial design. He leads the DataLoch programme and collaborates on the AIM-CISC Programme (AI-driven multimorbidity clustering), integrating hospital and social care datasets. His teams include researchers from the University of Edinburgh, NHS Scotland, and external partners, focusing on translating data analytics into clinical tools for frailty prediction and care transition optimization.
Brandon Helfield is an Assistant Professor at Concordia University with cross-appointments in Physics and Biology. He holds the Tier II Canada Research Chair in Molecular Biophysics in Human Health and serves as a Junior Scientist at the Physical Sciences Platform of Sunnybrook Research Institute. His research bridges biomedical ultrasound, microbubble dynamics, and therapeutic applications. Education : PhD in Medical Biophysics (University of Toronto), BSc in Physics (McGill University), Postdoctoral Fellowship in Cardiology (University of Pittsburgh) Research Interests : Dr. Helfield focuses on biomedical ultrasound imaging and therapy, particularly microbubble-based technologies for targeted drug/gene delivery to treat cardiovascular diseases. His recent work explores CRISPR-Cas9 delivery to stem cells, immunomodulation via focused ultrasound, and super-resolution imaging algorithms. Publication Trends : His research spans ultrasound physics, microbubble dynamics, and clinical translation. Key areas include cavitation mechanics, vascular delivery optimization, and machine learning applications for imaging analysis. Awards : Burroughs Wellcome Fund Career at the Scientific Interface Award, Arthur E. Weyman Young Investigator Award, European Symposium on Ultrasound Young Investigator Award
Hugues Talbot is a researcher affiliated with the Digital Vision Center, specializing in computer vision, machine learning, and optimization. His work spans medical imaging, digital pathology, and mathematical morphology, with recent publications focusing on deep learning applications for tumor segmentation, image restoration, and medical diagnostics. Research Interests: Computer Vision (e.g., image segmentation, mathematical morphology), Machine Learning (e.g., generative models, multiple instance learning), Medical Imaging (e.g., CT/MRI analysis, tumor detection), and Optimization (e.g., maximal flows, convex modeling). Key Projects: Development of algorithms for automated lymphoma prognosis using PET images, deep learning models for breast cancer diagnosis from cytology slides, and physics-informed neural networks for myocardial perfusion simulation. Technical Contributions: Hybrid heart segmentation algorithms, noise density analysis for image splicing detection, and discrete calculus methods for inverse problems in imaging. His work often integrates theoretical mathematical models (e.g., Ambrosio-Tortorelli functional) with practical applications in clinical settings, such as sacroiliitis detection, bone density estimation, and zebrafish brain volumetric analysis.
Mohammad Azam Mansoor is a Professor at the Department of Natural Sciences, University of Agder (UiA). He holds a Ph.D. (dr. philos) from the Institute for Clinical Biology, Division of Pharmacology and Toxicology, University of Bergen (1994). His teaching spans Biochemistry, Medical Biochemistry, and Organic Chemistry, with a focus on research in redox biology, folate metabolism, and the interplay between nutrition and clinical biomarkers. Dr. Mansoor has contributed extensively to understanding how genetic polymorphisms, dietary interventions, and oxidative stress affect metabolic pathways, particularly in conditions like IgA nephropathy and cardiovascular health. Ph.D. (dr. philos), Institute for Clinical Biology, Division of Pharmacology and Toxicology, University of Bergen (1994) His research groups include Biomedicine and Health, Behavior, Diversity, and Social Inclusion. He has been a key contributor to studies on the systemic redox status in chronic diseases, the impact of B-vitamins, and analytical methodologies like HPLC for biomarker quantification. Dr. Mansoor has collaborated on interdisciplinary projects, including assessments of organic food safety and nutrient fortification models for the Norwegian Scientific Committee for Food Safety. His work often involves clinical trials and observational studies, linking biochemical markers to public health outcomes. Dr. Mansoor's recent publications highlight his expertise in redox biology, folate-homocysteine-glutathione dynamics, and pharmacogenomics. For instance, his 2025 study on antioxidant-enzyme gene SNPs' effects on plasma biomarkers after folic acid supplementation demonstrates his focus on personalized nutrition. Earlier works (2022, 2020) explore redox-inflammatory biomarkers in IgA nephropathy, while 2018-2015 studies address metabolic interactions in kidney disease and nutrient supplementation. His contributions to HPLC methodology and the biochemical impacts of antiepileptic drugs underscore his analytical and clinical research strengths.
Professor David L. Buckley is a Professor of Medical Physics at the School of Medicine, University of Leeds, and a leading researcher in quantitative magnetic resonance imaging (MRI). He is affiliated with the Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), the Radiotherapy Research Group, and the Biomedical Imaging Science theme. He serves as Lead for Postgraduate Research (PGR) Studies in LICAMM and is actively involved in teaching and supervision. Education: BSc in Mathematical Physics MSc in Information Technology (Medical Physics) PhD in Magnetic Resonance Imaging His research focuses on the development and application of advanced MRI techniques, particularly dynamic contrast-enhanced MRI and tracer kinetic modeling, for the quantification of physiological parameters in cardiovascular, oncological, renal, and neurological diseases. He has led numerous high-impact research projects funded by major bodies including the British Heart Foundation, Cancer Research UK, EPSRC, MRC, and NIHR. The recent articles reflect a strong trend in developing quantitative imaging biomarkers for clinical applications, especially in cardiac perfusion, renal function, cancer therapy response, and brain vascular dynamics. His work bridges physics, engineering, and clinical medicine, aiming to translate novel imaging methods into patient benefit. Scientific Awards and Grants: BHF Project Grant (2021) - Myocardial blood flow and extracellular volume Cancer Research UK Radiation Research Centre (2020) - Personalised radiotherapy EPSRC Standard Proposal (2019) - WEX-BRAIN EU COST-Action (2017) - MRI biomarkers for chronic kidney disease MRC Clinical Research Capabilities & Technologies Strategic Award (2015) - National Centre for Hyperpolarised MRI Breast Cancer Now Project Grant (2015) - CHERNAC BHF Strategic Initiative Grant (2014) - Pre-clinical imaging Kidney Research UK project grant (2013) - Single-kidney GFR NIHR EME award (2013) - CADERA NIHR PhD Research Fellowship (2012) - Diabetic cardiomyopathy He supervises postgraduate research students and leads PGR training in LICAMM. His teaching includes module leadership for Magnetic Resonance Imaging (MEDP3512/MEDP5312M) and lecturing in Core Skills in Medical Imaging and Introduction to Medical Physics . He is a member of professional societies including the International Society for Magnetic Resonance in Medicine (ISMRM). His research is conducted within interdisciplinary teams including LICAMM, the Radiotherapy Research Group, and Biomedical Imaging Science, fostering collaboration across physics, engineering, and clinical specialties to advance imaging science and patient care.
Ryan Wilson, MD, is an Assistant Professor in the Department of Medicine at Penn State University's College of Medicine. He is affiliated with the Penn State Heart and Vascular Institute and specializes in cardiology, with a focus on echocardiography and cardiovascular disease. His research explores advanced imaging techniques and clinical outcomes in pulmonary embolism, liver transplantation, and cardiac risk stratification. University: Penn State University School: College of Medicine Department: Department of Medicine Academic Rank: Assistant Professor Research Interests: Right ventricular strain and global longitudinal strain in cardiovascular imaging Risk assessment in intermediate-risk pulmonary embolism Cardiovascular complications in liver disease and transplantation Application of echocardiographic parameters for prognostic accuracy Stroke mechanisms related to cardiac abnormalities Development and validation of clinical risk scores Integration of strain imaging into standard diagnostic protocols Recent Publications (2014-2025): Focus on pulmonary embolism prognosis using strain imaging Meta-analysis of cardiovascular changes in cirrhosis Risk score validation for myocardial infarction outcomes Investigation of right-to-left cardiac shunts in stroke cases Advancements in echocardiographic parameters for clinical decision-making Laboratory & Collaborations: Works within the Penn State Heart and Vascular Institute with multidisciplinary collaborations in cardiology and hepatology research.
Thomas R. Shannon, DVM, PhD is an Associate Professor in the Department of Physiology & Biophysics at Rush Medical College , Rush University. His research focuses on the local control of excitation-contraction coupling in excitable cells , particularly cardiac and muscle cells, with an emphasis on sarcoplasmic reticulum (SR) calcium storage and release mechanisms . Key areas include SR calcium buffering , ryanodine receptor phosphorylation , and pathological calcium regulation in heart failure . Dr. Shannon's work explores how post-translational modifications of regulatory proteins affect SR calcium dynamics, aiming to develop SR-targeted therapeutics for cardiac diseases. His laboratory is internationally recognized for experimental expertise in calcium signaling , using biophysical, biochemical, and molecular approaches . His 15 most recent publications (2003–2022) span topics including β-adrenergic calcium uptake mechanisms , SR ion concentration dynamics , and nitric oxide interactions in cardiac myocytes , reflecting his central role in calcium signaling and cardiac pathophysiology . Dr. Shannon's affiliations include Rush University Medical Center and collaborations with leading researchers like D.M. Bers , E. Rios , and D. Gillespie . He is based in Chicago, IL , at the Jelke Building, 1750 W. Harrison St.
Roselle Abraham, MD is an Associate Professor in the Department of Medicine at the UCSF School of Medicine. Her clinical expertise focuses on treating patients with hypertrophic cardiomyopathy, while her research integrates electrophysiology, imaging, and stem cell research to improve patient outcomes. She leads a program combining multi-modality imaging and model systems to personalize therapies for cardiomyopathy patients. Her research interests emphasize risk stratification of arrhythmias using advanced imaging techniques such as PET/CT, MRI, and echocardiography. Key contributions include studies on myocardial blood flow heterogeneity, left ventricular remodelling, and the role of metabolic imaging in cardiac disease. Dr. Abraham has co-authored over 70 peer-reviewed articles across cardiology, imaging, and genetics, with recent work focusing on genetic variants in cardiomyopathy and clinical outcomes in patient subgroups. Her publications highlight innovations in diagnostic approaches, including variable resolution MRI techniques and machine learning applications for arrhythmia prediction. While no specific awards are listed, her consistent output in high-impact cardiology journals underscores her scholarly contributions. Ongoing research examines age-related phenotypic changes in cardiomyopathy and the role of miRNA in cardiac dysfunction.
Naomi Chesler, Ph.D., is the Chancellor’s Inclusive Excellence and Edwards Lifesciences Foundation Professor in the Department of Biomedical Engineering at the University of California, Irvine (UCI). She also directs the UCI Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center (CIRC). Her research integrates mechanical engineering, vascular biology, and imaging tools to study cardiovascular physiology, particularly focusing on right ventricular function, pulmonary hypertension, and sex differences in heart disease. Chesler’s work emphasizes translational applications, including stem cell-engineered vascular grafts and computational models predicting vascular dynamics. She has pioneered studies on pulmonary vascular distensibility as a clinical biomarker and has contributed to understanding how estrogen influences pulmonary vascular health. Chesler actively promotes diversity in academia, co-authoring papers on equitable hiring strategies and serving on national panels for cardiovascular research guidelines. Her research spans preclinical studies in rodents and macaques, human clinical trials involving veterans and preterm-born adults, and computational modeling of hemodynamics. Key innovations include defining phenotypic subgroups in heart failure with preserved ejection fraction (HFpEF) using RV-pulmonary artery coupling metrics and developing non-invasive methods to assess pulmonary vascular stiffness during exercise. Chesler’s lab collaborates across disciplines, combining biomechanical experiments with advanced imaging (MRI, PET) and machine learning for predictive analytics. Professional contributions include co-authoring NIH-funded grants, serving on editorial boards for Comprehensive Physiology and Frontiers in Bioengineering , and leading workshops on systemic approaches to health disparities. Her educational initiatives include a novel course integrating computational modeling with cardiovascular physiology instruction.
Peter-Diedrich Matthias Jensen serves as a Senior Physician ( Overlæge ) at Aalborg University Hospital within the Faculty of Medicine's Department of Haematology in Denmark. His clinical and research work focuses on hematological disorders with particular expertise in iron metabolism disorders and advanced imaging techniques for iron quantification. Dr. Jensen's research interests center on iron overload conditions, including hereditary anemia, myelodysplastic syndromes, and transfusional iron overload. His work extensively utilizes minipig models to develop and validate non-invasive diagnostic techniques, particularly MRI-based methods for quantifying iron in liver and cardiac tissues. His research bridges clinical hematology with advanced imaging physics to improve diagnostic accuracy and treatment monitoring for patients with iron-related disorders. Analysis of his publication trends reveals a strong focus on developing and validating MRI techniques for iron quantification using minipig models, with significant contributions to understanding iron metabolism in hereditary anemia and myelodysplastic syndromes. His work demonstrates interdisciplinary collaboration between hematology, radiology, and physics to address clinical challenges in iron overload disorders. Dr. Jensen has been actively involved in several large-scale collaborative studies including the DAHEAN project, a Danish nationwide study focused on quality assurance for suspected hereditary anemia patients. His research has been published in reputable journals including the Journal of Cardiovascular Magnetic Resonance, Magnetic Resonance Materials in Physics, Biology and Medicine, and Leukemia.
Saul Myerson is an Associate Professor of Cardiovascular Medicine at the University of Oxford, affiliated with St Catherine's College and the Division of Cardiovascular Medicine. He is a Consultant Cardiologist and leads the valve sub-theme at the Oxford Biomedical Research Centre. MB ChB (University of Bristol), MD, FRCP, FESC Principal Investigator for the OxValve Study (>4,000 participants) Board member of the British Society for Cardiovascular Magnetic Resonance His research focuses on heart valve disease , using cardiovascular magnetic resonance (CMR) imaging to identify patients at risk of progression, understand disease mechanisms, and develop treatment strategies. Key areas include: Quantification of valvular regurgitation for surgical planning 4D blood flow imaging to study aortic dilation in bicuspid valves Clinical trials of early valve surgery and novel drugs (e.g., RIAS trial) Community epidemiology of valvular disease (OxValve cohort) Recent publications highlight trends in: Cardiac energetics and metabolic phenotyping in aortic stenosis Flow inefficiencies in non-obstructive hypertrophic cardiomyopathy Sex-specific outcomes and fibrosis prediction models Turner syndrome aortic risk stratification His work is supported by the NIHR Oxford Biomedical Research Centre , British Heart Foundation, and Heart Research UK, with collaborations spanning St Thomas' Hospital , Linkoping University (Sweden), and the International 4D Flow Consortium .
Beth Pruitt is a Professor and Mehrabian Chancellor's Chair in the Department of Bioengineering at the University of California, Santa Barbara, with additional affiliations in Mechanical Engineering. She is a highly recognized researcher in the field of mechanobiology and microfabrication, holding fellowships in multiple prestigious societies including ASME, AIMBE, BMES, and AAAS. Dr. Pruitt's research lies at the intersection of mechanobiology, microfabrication, engineering and science, with her lab specializing in engineering microsystems and biointerfaces for quantitative mechanobiology. Her work focuses on understanding the role of mechanics in biology, force sensitive pathways in cell-to-cell adhesion, subcellular organization, and the mechanical environment's effect on stem cell derived cardiomyocytes as biophysical models of health and disease. She has developed custom microfabricated sensors and systems to answer fundamental questions in physiology, biology, stem cells, neuroscience and cardiology. Her research group has made significant contributions to mechanobiology through techniques like high-throughput single-cell assays, mechanobiology assays, microfabrication of cell culture devices, and biomaterials characterization. The lab has developed innovative tools including PiezoD software for sensor design optimization, microfluidic traps for C. elegans studies, and platforms for evaluating cardiomyocyte responses to mechanical stimuli. Dr. Pruitt has received numerous honors including the NSF CAREER Award, DARPA Young Faculty Award, and Denice Denton Leadership Award. Her lab is supported by extensive funding from NIH, NSF, AHA, and other major agencies. She has mentored numerous students and postdocs who have become co-authors on her extensive publication record spanning mechanobiology, cell adhesion, and cardiac mechanics. Her work bridges engineering and biology to address fundamental questions about how mechanical forces influence cellular behavior, with applications ranging from understanding basic biological processes to developing diagnostic tools and therapeutic approaches for cardiac diseases.
Georgios Dedousis is a Professor of Human Cellular and Molecular Biology at Harokopio University, focusing on Human Molecular Genetics with emphasis on obesity, cardiometabolic phenotypes, and gene-nutrition interactions. He is affiliated with the Laboratory of Biology, Biochemistry, and Physiology of Humans and Microorganisms. Doctoral thesis, Medical School, University of Athens (1995) DEA, University of Technology of Compiegne, France (1990) Degree in Biology, School of Physics and Mathematics, University of Patras (1988) His research spans genetics of metabolic disorders, nutritional genomics, and collaborative networks like the VEGF Consortium. Recent publications highlight genome-wide studies on type 2 diabetes, NAFLD, and coronary artery disease. Fulbright Scholar at Harvard Medical School (2004)
Einar Heiberg is a Senior Lecturer at Lund University , Faculty of Medicine, Department of Clinical Physiology. He serves as Project Manager of the Lund Cardiac MR Group and Director of the 3D Centre at Skåne University Hospital. His academic appointments include Associate Senior Lecturer at WCMM (Wallenberg Centre for Molecular Medicine) and affiliation with the LTH Profile Area 'Engineering Health.' Senior Lecturer, Clinical Physiology (Lund University) Project Manager, Lund Cardiac MR Group Director, 3D Centre @ Skåne University Hospital Associate Senior Lecturer, WCMM Research Interests : Heiberg specializes in medical image processing , combining classical image analysis with deep learning techniques. His work focuses on cardiovascular MRI applications, particularly software development for cardiac modeling and segmentation. Key areas include: Deep learning for 3D medical imaging Cardiac MRI feature tracking Tricuspid/right ventricle flow dynamics AI in surgical planning Segmentation of cardiovascular structures Modeling left ventricular mechanics Scientific Contributions : Heiberg's 160+ research outputs show expertise in: Cardiac Magnetic Resonance Imaging Left Ventricle and Myocardial Analysis Deep Learning in Clinical Applications 3D Printing for Medical Use Awards & Appointments : Clinical Fellow, WCMM Labs & Collaborations : He leads the 3D Centre (LinkedIn, website) and contributes to AI research through Lund's AIML@LU network and AI Lund: Lund University AI Research .
