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Helen ByrneView profile

Professor

• Mathematical Biology
• Cancer Biology
• Tissue Engineering
• +3 more

Professor Helen Byrne is a Professor of Applied Mathematics at the University of Oxford’s Mathematical Institute and a Tutorial Fellow at Keble College. She specializes in mathematical modeling of biomedical systems, with a focus on tumor growth, wound healing, and tissue engineering. Her research bridges applied mathematics, statistics, and data science to address fundamental biomedical questions. She has held roles including Associate Head of Department (Planning & Equality), Senior Mathematics Tutor at Keble College, and Director of Equality and Diversity in the Mathematical, Physical and Life Sciences Division. Her work has been recognized through prestigious awards such as the 2021 Australian Laureate Fellowship and the 2019 Leah Edelstein-Keshet Prize. Her publications emphasize interdisciplinary applications of mathematical biology, including tumor-immune interactions, vascular dynamics, and epigenetic landscapes. Key contributions include modeling tumor-induced angiogenesis, liver assembloids, and atherosclerotic plaques. Current projects aim to develop novel mathematical frameworks for interpreting complex biomedical data. Research Grants: $3,021,288 ARC Australian Laureate Fellowship (2021) for 'New Approaches to Understand How Form and Function Shape Complex Systems.' Awards: 2021 Australian Laureate Fellowship (ARC) 2019 Leah Edelstein-Keshet Prize (Senior Award) 2020 Fellow of the Society for Mathematical Biology Labs/Teams: Part of the Mathematical Biology research group at Oxford, contributing to collaborative projects in tumor modeling and biomedical systems.

Sharmin SultanaView profile

Assistant Professor

• Multimodal Image Processing
• Artificial Intelligence
• Computer Vision
• +3 more

Sharmin Sultana, PhD, is an Assistant Professor in the Department of Information Sciences and Technology at George Mason University's College of Engineering and Computing. Her research focuses on developing advanced computational methods for medical imaging, particularly in artificial intelligence, computer vision, and deep learning applications to improve healthcare diagnostics and treatment. PhD, Computational Modeling and Simulation, Old Dominion University (2017) Postdoctoral Research Fellow, Radiation and Oncology, Johns Hopkins University School of Medicine (2017–2020) MS and BS, Computer Science and Engineering, University of Dhaka, Bangladesh Dr. Sultana specializes in Multimodal Image Processing , Artificial Intelligence , and Medical Imaging , with a focus on creating AI-driven solutions for biomedical image analysis. Her work includes state-of-the-art techniques for image-guided cancer treatment and multimodal image registration. The 15 most recent publications highlight her contributions to prostate cancer imaging , cranial nerve segmentation , and environmentally sustainable materials . Key methodologies include convolutional neural networks, deformable models, and dual contouring for precise surgical planning and simulation.

Priya PrasadView profile

Adjunct Assistant Professor

• Clinical Epidemiology
• Quality Improvement in Patient Care
• Electronic Health Record (EHR) Utilization
• +4 more

Priya Prasad, PhD, MPH , is an Assistant Adjunct Professor at the University of California, San Francisco (UCSF) School of Medicine , affiliated with the Division of Hospital Medicine . Her work focuses on leveraging electronic health records (EHR) to improve patient care quality, particularly in sepsis surveillance , antibiotic stewardship , and health disparities in inpatient settings. Education : BS in Biology (2003), University of North Carolina at Chapel Hill MPH in Epidemiology & Biostatistics (2005), University of California, Berkeley PhD in Epidemiology & Translational Science (2016), UCSF Diversity, Equity, and Inclusion Champion Training (2019), UCSF Her research explores data-driven interventions for hospital quality improvement, including alarm fatigue reduction , opioid prescribing equity , and timing of sepsis treatment . She has secured grants like the UCSF Chancellor's Fund Travel Award (2022) and Center for Health Quality and Innovation grant (as primary analyst). Prior roles include Clinical Epidemiology Research Associate at Children’s Hospital of Philadelphia. Selected publications highlight her work in critical care cardiology , antimicrobial resistance , and equity in hospital medicine , with collaborations across the UC Health system. Scientific awards include multiple Top Peer Reviewer distinctions from the Journal of Hospital Medicine .

Rachel MelamedView profile

Assistant Professor

• Computational Biology
• Cancer Genomics
• Data Science
• +3 more

Rachel Melamed is an Assistant Professor of Biology at the University of Massachusetts Lowell, affiliated with the Kennedy College of Sciences and the Center of Biomedical and Health Research in Data Sciences (CHORDS). Her research focuses on linking health and molecular data to understand disease mechanisms and identify interventions for conditions like cancer. She employs computational methods from computer science and epidemiology, integrating diverse datasets including health records, biobanks, and drug experiments. Education: BA in Computer Science (Brown University), PhD in Biomedical Informatics (Columbia University), Postdoctoral training in Biomedical Data Science (University of Chicago). Research Interests: Disease biology & genomics, data science, epidemiology, causal inference. Projects include studying drug impacts on cancer pathways, genetic overlaps between diseases, and leveraging big data for personalized medicine. She leads a lab with graduate and undergraduate researchers exploring computational biology, bioinformatics, and pharmacology. Lab Team: Supervises students specializing in computational biology, statistics, and machine learning. Current members include Anugrah Vaishnav, Jianfeng Ke, Panagiotis Lalagkas, and others. Past researchers include Aylinh Eng and Bishoy Sargius. Key Focus Areas: Cancer etiology, drug repurposing, genetic risk stratification, and translational bioinformatics. Her work bridges computational methods with clinical and biological datasets to uncover actionable insights in disease prevention and treatment.

Carlo Ferri MariniView profile

Assistant Professor

• Aerobic Exercise Testing
• Resistance Exercise Prescription
• Exercise Physiology
• +3 more

Dr. Carlo Ferri Marini is an Assistant Professor at the Department of Human Movement Sciences, University of Groningen and University Medical Center Groningen. He holds a PhD cum laude from the University of Urbino, with additional studies at Colorado Mesa University and University College Dublin. His research focuses on optimizing exercise testing and prescription in healthy and clinical populations, particularly in aerobic and resistance exercise physiology. He collaborates internationally and serves as an Academic Editor for BMC Sports Science, Medicine and Rehabilitation and PeerJ . Key areas of research include exercise intensity methods, lifestyle interventions for breast cancer survivors, and cardiometabolic health. Notable projects include the MOVIS clinical trial on exercise and nutrition programs for cancer survivors and the TRIPL-A trial for type 2 diabetes management. His work emphasizes improving the benefit-to-risk ratio of physical activity through evidence-based approaches. Dr. Marini’s recent publications explore topics such as pedaling cadence effects on metabolic responses, gut microbiota changes in breast cancer survivors, and the validity of exercise intensity metrics. He also investigates the role of exercise in mitigating tumorigenic activity and enhancing quality of life in clinical populations. Collaborations span institutions globally, reflecting his commitment to interdisciplinary research. His research has been featured in journals like Scientific Reports , European Journal of Sport Science , and Frontiers in Oncology . Dr. Marini is affiliated with the SMART Movements research group, advancing knowledge in movement sciences and health. His work bridges clinical and applied research, aiming to translate findings into practical guidelines for improving public health outcomes.

• Public Health
• Health Inequalities
• Multilevel Modelling
• +3 more

Alastair Leyland is a Professor of Population Health Statistics and Associate Director of the MRC/CSO Social and Public Health Sciences Unit at the University of Glasgow. He holds a B.Sc. in Mathematics, an M.Sc. in Applied Statistics from the University of Southampton, and a Ph.D. from the University of Sunderland. His work focuses on health inequalities, multilevel modeling, and the use of routinely collected health data. He has led the Inequalities in Health research program since 1999 and co-leads it currently. His research interests include mortality inequalities in Scotland, evaluation of natural experiments, and expanding uses of linked health data. He co-authored a course book on multilevel modeling for public health and collaborated with global institutions like CIDACS (Brazil) and the Universidad Internacional del Ecuador on social policy and health inequalities. Leyland chairs the European Public Health Association's Section Council and serves on multiple boards including the European Public Health Conference and NIHR funding panels. He has over 346 publications and has been a key figure in global health research, including studies on pandemic impacts, vaccination disparities, and socioeconomic determinants of health outcomes. His work emphasizes leveraging administrative data to address health inequities and inform policy. He is a Fellow of the Faculty of Public Health and the Royal Statistical Society, reflecting his contributions to statistical rigor and public health advocacy. His research spans from child health in care to the effects of welfare policies and trade unions on mental health during crises.

• Public Health
• Health Inequalities
• Social Determinants of Health
• +5 more

Professor Vittal Katikireddi is a leading academic in Public Health & Health Inequalities at the University of Glasgow's School of Health & Wellbeing. He holds a Professorship at the MRC/CSO Social & Public Health Sciences Unit and serves as an honorary Consultant in Public Health Scotland. His work focuses on improving evidence-based public policy and understanding social determinants of health through quantitative and mixed-methods approaches. Trained at the University of Edinburgh (MBChB 2004), he completed public health training at NHS Lothian (MSc 2009, MFPH 2010) with WHO/Scottish Government attachments. His PhD explored policy-evidence linkages in public health. Key research areas include health equity, economic determinants of health, and climate change impacts. He leads the European Research Council-funded HEED project and co-leads the NIHR Policy Innovation Research Unit (PIRU) on inequalities. His work spans global health collaborations (UK, Brazil, Ecuador) and utilizes large-scale data linkage (e.g., Understanding Society). Awarded over 300 publications, he chairs international advisory boards (e.g., Lancet Public Health) and served on UK SAGE during the pandemic. Recognized with major honors including the Royal Society of Edinburgh Fellowship and Cochrane Collaboration’s Thomas C Chalmers Award.

• Magnetic Resonance Imaging
• Neuroscience
• Diabetes Research
• +3 more

Scott Beeman is an Assistant Professor at the School of Biological and Health Systems Engineering, Arizona State University (ASU). His research focuses on developing magnetic resonance-based methods to study disease mechanisms in diabetes and cancer, with a particular emphasis on glioma brain tumors and type 2 diabetes pathogenesis. He holds a B.S.E. and Ph.D. in Biomedical Engineering from ASU and completed postdoctoral training at Washington University School of Medicine. Education: Ph.D. Biomedical Engineering, Arizona State University, 2012 B.S.E. Bioengineering, Arizona State University, 2007 Postdoctoral Research Associate, Washington University School of Medicine, 2013–2016 Research Interests: Dr. Beeman’s laboratory designs quantitative MRI methods informed by biophysical principles to study health and disease. Current projects include: Characterizing invasive glioma subtypes via diffusion MRI Investigating the pathogenesis of type 2 diabetes and its complications Developing non-invasive techniques to assess adipose tissue oxygenation Publications: His work spans neuroimaging, kidney physiology, and metabolic disorders. Recent studies highlight applications of MRI in brain tumor differentiation, Alzheimer’s risk prediction, and kidney glomerular analysis. Awards: NIH K01 Career Award (2016) Teaching & Grants: He teaches courses like BME 566 (Medical Imaging Instrumentation) and BME 494 (Special Topics). His NIH-funded research includes grants targeting diabetes and glioma imaging. Labs & Teams: Collaborates with the Biomedical Magnetic Resonance Laboratory at Washington University and ASU’s interdisciplinary teams in biomedical engineering and systems biology.

• Artificial Intelligence in Healthcare
• Health Informatics
• Digital Health
• +4 more

Professor Sandeep Reddy is a leading academic in healthcare management and digital health at Queensland University of Technology (QUT), where he heads disciplines in Healthcare Management, Health Information Management, and Health, Safety, and Environment. He co-leads the 'Health, Human Biology and MedTech' theme at QUT's Centre for Data Science. With a PhD in Healthcare Management and a medical degree, Reddy holds multiple professional fellowships, including the Australasian Institute of Digital Health and the UK Higher Education Academy. Roles: Professor, Academic Leader, Researcher, Editor Affiliations: QUT, WHO Digital Health Roster, European Academy of Translational Medicine Professionals His research focuses on AI integration in healthcare delivery, governance frameworks, and translational methodologies. Key areas include AI in chronic disease management, medical imaging, and facial recognition technology. Reddy has authored over 80 publications, including a 2024 textbook on translational AI applications. Reddy's work spans global health policy, having advised the WHO and participated in international panels. He teaches courses on health informatics, implementation science, and digital health, with over 20 years of academic and industry experience. Scientific awards and fellowships reflect his expertise: Fellow of AIDH, ACHSM, and Senior Fellow of the UK Higher Education Academy. His editorial roles include PLOS ONE, Computational and Structural Biotechnology Journal, and Frontiers in AI. Current research supervision focuses on AI in medical education, healthcare access, and explainability in AI systems. He advocates for equitable digital health solutions, addressing the rural-urban digital divide through empirical studies.

Kim CluffView profile

Professor

• Wearable Sensing Systems
• Biomedical Engineering
• Aerospace Applications
• +3 more

Kim Cluff is a Professor and IACUC Chair at Wichita State University. Her research focuses on wearable sensing systems, biomedical engineering, and aerospace applications, with a particular emphasis on non-invasive monitoring of biofluid dynamics and medical diagnostics. She has developed novel sensors for applications ranging from aerospace health monitoring to patient-specific medical systems. Her work integrates advanced materials like PVDF and dielectric elastomers with electromagnetic and RF technologies to create innovative diagnostic tools. Key projects include skin patch resonators for fluid volume measurement and systems for real-time organ motion management in medical therapies. Publications highlight contributions to biomedical sensor design, including CO₂ gas detection and shoulder joint clearance monitoring in space suits. Though no grants or awards are explicitly listed, her research has been applied in clinical contexts such as peripheral artery disease diagnostics and cancer treatment systems. A lab website exists for her main campus research activities, though specific lab details are not provided in the text.

• Cardiovascular Physiology
• Autonomic Nervous System
• Exercise Physiology
• +3 more

Prof. Tomasz Henryk Wierzba (1958–2022) was a Professor at the Faculty of Medicine, Medical University of Gdańsk, specializing in cardiovascular physiology and autonomic nervous system research. His work focused on heart rate variability, blood pressure regulation, and hypoxia responses, often using animal models like SHR rats. He contributed to studies on aging physiology, exercise physiology, and reproductive health, including fertility awareness methods and polycystic ovary syndrome (PCOS) treatment. Wierzba edited the proceedings of the 2021 Polish Physiological Society Congress and authored textbooks on fertility biomarkers. His research also addressed clinical applications such as carnitine supplementation effects on cardiac autonomic function and postural changes in adolescents' heart rhythms. Key roles: Editor of scientific proceedings, textbook author Notable collaborations: With Stanisław Zajączkowski, Krzysztof Malinowski, and international researchers like J. Patrick Neary Research interests spanned cardiovascular pathophysiology, respiratory-cardiac interactions, and translational medicine bridging animal models to human clinical applications.

• Healthcare AI
• Deep Learning
• Machine Learning
• +5 more

Dr. Peng Xu is a Research Fellow in the Department of Engineering Science at the University of Oxford, affiliated with the Institute of Biomedical Engineering. His roles include advancing Healthcare AI, Deep Learning, and Machine Learning applications in biomedical research. Previously, he held positions at Nanyang Technological University (postdoctoral research fellow) and earned his Ph.D. from Beijing University of Posts and Telecommunications. Dr. Xu’s research focuses on integrating computational methods with clinical data to address respiratory diseases, particularly asthma and COPD. His work emphasizes novel lung function assessment techniques like Computed Cardiopulmonography (CCP), which evaluates ventilation-inhomogeneity indices and small-airway abnormalities. He also investigates therapeutic interventions, including biologics and corticosteroids, and their effects on Type-2 inflammation biomarkers. His recent studies explore post-COVID-19 pulmonary physiology and the role of gut microbiota in cardiovascular diseases linked to diabetes. His publications highlight contributions to lung function technology (e.g., the TREETOP Study) and the mechanisms of asthma treatment. Collaborations span clinical, engineering, and computational domains, aiming to bridge AI-driven diagnostics and precision medicine. Dr. Xu has contributed to interdisciplinary initiatives such as the Bellhouse BioEngenuity Keynote Lecture at IBME and projects promoting underrepresented students in engineering. His work underscores a commitment to advancing medical technology for improved patient outcomes.

Naeha SharifView profile

Lecturer

• Computer Vision
• Natural Language Processing
• Medical Image Analysis
• +5 more

Dr. Naeha Sharif is a Lecturer in Computer Science & Software Engineering at The University of Western Australia (UWA), specializing in Computer Vision (CV) and Natural Language Processing (NLP). She holds a PhD from UWA (2021) focused on AI-driven image captioning and received the prestigious ACS 1962 Medal for outstanding IT/CS research. Her work bridges AI with healthcare, including automated medical assessment via spine scans (DXA) for abdominal aortic calcification analysis and AI-driven medical report generation for fundus imaging. Education: PhD in Computer Science (UWA 2021), Master of Engineering in Biomedical Engineering (Kyung Hee University, 2013). Previous roles include Postdoctoral Fellow at Edith Cowan University (2021–2022). Research Interests: Vision-language models, medical image analysis, captioning metrics, multimodal learning, and AI applications in healthcare. Active in UN SDGs related to health and innovation. Teaching: Unit Coordinator for Computer Graphics & Animation (CITS3003, 2022–2023) Computational Thinking with Python (CITS1401, 2023) Grants: Lead investigator on the 'Generative AI for Screening of Depressive Disorders' project (2024). Awards: Recognized for student learning contributions (2025), best paper awards (2024/2020), and academic excellence honors (2021/2020). Labs/Teams: Member of UWA Natural & Technical Language Processing Group and IEEE Signal Processing Society.

Maarten van den BergView profile

Professor

• Cardiology
• Genetics
• Heart Failure
• +4 more

Maarten van den Berg is a Professor at the University of Groningen's Faculty of Medical Sciences, affiliated with the Cardiovascular Centre (CVC). His research focuses on cardiovascular genetics, inherited cardiomyopathies, and arrhythmia mechanisms. He has contributed to over 360 publications and actively participates in clinical and translational research. Expertise includes atrial fibrillation, heart failure, genetic cardiomyopathies, and amyloidosis. Organized symposiums on systemic amyloidosis and serves in professional organizations like the Working Group Cardiogenetics. Recent work emphasizes genetic penetrance studies, novel diagnostic markers using nuclear medicine, and AI-driven risk prediction for arrhythmias. He collaborates internationally on cardiac genetics and clinical management of inherited cardiac conditions.

• Attachment and Neuroscience
• Psychosomatic Medicine
• Body-Mind Integration
• +5 more

Associate Professor Loyola McLean holds positions at the University of Sydney's Brain & Mind Research Institute and Sydney Medical School. She is a Consultation-Liaison Psychiatrist, Psychotherapist, and Psychotherapy Educator with affiliations including Royal North Shore Hospital and the Sydney West Psychiatry Training Network. Her research focuses on trauma-informed care, integrative body-mind medicine, and attachment theory applied to mental health and chronic illness. Key interests include psychotherapy efficacy, stress system disorders, and medical education innovations. Education: PhD in biomedical research (depression-cardiovascular disease link) Grants: Includes studies on psychiatry trainee well-being and trauma interventions for burn survivors Current Projects: EMDR therapy for burn injury survivors, trauma-informed care in sexual assault services, and neurobiological aspects of functional neurological disorders Research spans 20+ years with over 100 publications. Her work bridges clinical practice and neuroscience, emphasizing interdisciplinary approaches to complex trauma and chronic illness recovery. She collaborates on RCTs evaluating therapies like EMDR and conversational model interventions. Teaching focuses on psychotherapy education, attachment theory, and research methodologies. She supervises students exploring topics like conversational model applications in psychiatry and functional neurological disorders.