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Keira RobinsonView profile

Researcher

• Cardiovascular disease epidemiology
• Epidemiological methods
• Biostatistics
• +7 more

Keira Robinson serves as a Researcher in the Cardiovascular Epidemiology Research Centre (CERC) at The University of Western Australia's School of Population and Global Health. She specializes in epidemiological and biostatistical analysis of multi-jurisdictional linked health data to advance cardiovascular disease research. Her educational background includes a Master’s degree in Epidemiology focused on genetic susceptibility to human papillomavirus in a Montreal student cohort. This foundation supports her methodological rigor in handling complex health datasets. Robinson's research spans cardiovascular disease epidemiology, pharmacoepidemiology, health economics, and biostatistics, with additional expertise in infectious diseases, health services research, immunology, oncology, and perinatal health outcomes. Her work directly contributes to UN Sustainable Development Goals for health and well-being. Recent publications reveal a strong emphasis on acute coronary syndromes, chronic coronary disease, and stroke incidence using linked administrative data. Key trends include diagnostic coding validation, sex-specific risk analysis, and long-term cardiovascular event prediction, demonstrating methodological innovation in real-world evidence generation. As an active member of the Cardiovascular Research Group and CERC, she collaborates on national and international projects that leverage large-scale health datasets to inform cardiovascular disease prevention and clinical management strategies.

• Clinical Natural Language Processing (NLP)
• Medical Informatics
• Machine Learning
• +3 more

Jens-Michalis Papaioannou is a prominent Researcher in clinical natural language processing (NLP) and medical informatics, with extensive publications in top-tier venues like ACL, LREC, and EMNLP. His work focuses on improving clinical decision support systems through advanced machine learning techniques. 2024 : Revisiting clinical outcome prediction for MIMIC-IV with biomedical transformers 2023 : Developing MEDBERT.de for German medical NLP and MedAlpaca conversational AI 2022 : Introducing ProtoPatient for interpretable diagnosis prediction 2021 : Creating self-supervised knowledge integration frameworks for admission note analysis His research spans seven major themes : Clinical outcome prediction from admission notes Cross-lingual knowledge transfer in medical NLP Prototypical network applications Data drift analysis in longitudinal datasets Knowledge integration techniques Model optimization for healthcare LLM interpretability frameworks He has collaborated with Wolfgang Nejdl, Alexander Löser, and Betty van Aken on 13+ publications , with over 445 citations. Notable contributions include: Novel patient similarity modeling approaches ICD code hierarchy integration methods Multilingual clinical model strategies Adversarial robustness analysis Medical conversational AI frameworks

• Information Systems
• Digital Transformation in Healthcare
• Process Optimization
• +7 more

Bernardo Nascimento Teixeira is a Guest Assistant in the Department of Information Science and Technology at ISCTE - University Institute of Lisbon, where he is also pursuing his PhD in Information Science and Technology. He serves as a Visiting Professor at ISCTE-IUL and Escola Superior Náutica Infante D. Henrique, teaching courses in the design and development of information systems. His academic and professional work centers on digital transformation in healthcare. His research interests focus on process optimization within digital and organizational transformation in healthcare, integrating interdisciplinary research methodologies. He applies information systems to improve clinical pathways, diagnostic efficiency, and patient management processes. His work bridges technical development with healthcare delivery challenges. The recent publications highlight a strong trend in applying information technology to healthcare operations, including AI in clinical coding, surgical waiting list optimization, and pedagogical methods in information systems. These reflect a consistent focus on practical, applied research aimed at solving real-world healthcare inefficiencies through technological innovation. Bernardo has advised at least one master’s student and is actively involved in professional training and consulting in information technology and management. He has collaborated on research projects with medical institutions such as the Pulmonology Department of Hospital Prof. Doutor Fernando Fonseca EPE, demonstrating strong interdisciplinary engagement. He holds a Master’s degree in Biomedical Engineering from NOVA School of Science and Technology and a certificate in Advanced Studies in Information Science and Technology from ISCTE-IUL. Additionally, he has earned certifications in Scrum (Scrum Alliance) and Leadership and Pedagogical Competencies from Harvard University, enhancing his expertise in project and educational leadership.

Bettina Wulff RisørView profile

Assistant Professor

• Health Economics
• Cost-Effectiveness Analysis
• Endometriosis Research
• +4 more

Bettina Wulff Risør is an Assistant Professor at the Department of Clinical Medicine, Faculty of Medicine, Aalborg University. She concurrently holds the position of Senior Researcher at DEFACTUM (since January 2023), focusing on expanding health economic collaborations with academic institutions. Her research emphasizes health economics, cost-effectiveness analysis, and healthcare utilization patterns in conditions such as endometriosis, cardiac arrest, and pulmonary embolism. Her work combines epidemiological studies with clinical outcomes, particularly through case-control designs and cost-benefit analyses. Recent projects include investigating pre-diagnosis hospital contacts in endometriosis patients and evaluating post-pulmonary embolism care models. Collaborations span international teams in gynecology, cardiology, and public health. Publications highlight trends in healthcare cost analysis, patient-reported outcomes, and optimizing follow-up protocols for chronic conditions. No scientific awards are explicitly listed, but her work has garnered significant academic attention, including over 50 Scopus citations and media coverage in outlets like Sundhedsmonitor.dk .

• Musculoskeletal disorders
• Low back pain
• Neck pain
• +9 more

Berit Schiøttz-Christensen is a Professor at the Department of Public Health, Faculty of Health Sciences, University of Southern Denmark, and affiliated with the Research Unit of General Practice. Her work bridges clinical practice and public health research, focusing on musculoskeletal disorders, particularly neck and lower back pain. PhD in Research (2001) Specialist in Rheumatology (2000) Cand Med (1986) Her research interests center on the diagnosis and treatment of musculoskeletal conditions, with a strong emphasis on clinical and epidemiological studies assessing short- and long-term prognosis. She investigates pain management, medical imaging, and rehabilitation strategies, particularly in primary care and geriatric populations. Her recent work also explores Long COVID and its impact on high-achieving women. The trends in her recent publications reveal a multidisciplinary approach combining clinical neurology, public health, occupational medicine, and molecular medicine. Her studies span patient-centered outcomes, work rehabilitation, geriatric performance, and novel investigations into mitochondrial dysfunction in post-viral syndromes. Scientific recognition includes: Hede Nielsen Prisen (1999) Columna Prisen (2001) Berit Schiøttz-Christensen is actively involved in research, teaching, and supervision. She has contributed to PhD projects and specialist training, including supervision in the Physical Performance and Post-Discharge Rehabilitation project. She teaches courses such as 'Medical Musculoskeletal Diseases' and 'Diagnosis and Treatment of the Musculoskeletal System.' She also contributes to national initiatives on back pain management in the Region of Southern Denmark and participates in interdisciplinary workshops. Outside the university, she chairs the International Academy of Musculoskeletal Medicine and RKKP, and is active in the Dansk Selskab for Muskuloskeletal Medicin.

• Pharmacovigilance
• Regulatory Science
• Sex Differences in Pharmacology
• +3 more

Freja Karuna Hemmingsen Sørup serves as Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen, Denmark, with her primary affiliation at Blegdamsvej 3, 2200 København N. Her research bridges clinical pharmacology and epidemiological methods with significant focus on regulatory science and sex-specific drug responses. Her core research interests include: Pharmacovigilance systems and adverse drug event monitoring EMA/FDA regulatory comparison for cancer therapeutics Sex differences in pharmacological outcomes Health informatics applications in disease progression analysis ICD coding standardization for longitudinal studies Analysis of her publication record (2015-2025) reveals consistent methodological innovation in real-world data analysis, particularly through text mining of clinical records and cross-jurisdictional regulatory comparisons. Her work demonstrates increasing impact in oncology drug regulation and gender-specific pharmacology, with recent studies receiving substantial policy attention. Her research has appeared in high-impact journals including Nature Communications (161 citations), JAMA Oncology, and the British Journal of Clinical Pharmacology, with multiple studies covered by international news outlets and referenced in health policy documents.

Mark ProctorView profile

Professor

• Pediatric Neurosurgery
• Craniosynostosis
• Chiari Malformation
• +3 more

Dr. Mark Proctor is a Professor in the Department of Neurosurgery at Harvard Medical School and a leading researcher at Boston Children's Hospital. With over three decades of experience in pediatric neurosurgery, Dr. Proctor has established himself as a leading expert in the treatment of craniosynostosis, Chiari malformation, and complex spinal disorders in children. Dr. Proctor received his undergraduate education at Dartmouth College in 1986, followed by his medical degree from Columbia University College of Physicians and Surgeons in 1990. He completed his internship at Columbia Presbyterian Medical Center in 1991, residency at Georgetown University Hospital in 1997, and fellowship at Boston Children's Hospital in 1998. Dr. Proctor's research primarily focuses on pediatric neurosurgical conditions, with special emphasis on craniosynostosis management techniques, Chiari malformation outcomes, and innovative approaches to pediatric spinal disorders. His work has spanned from technical surgical innovations to healthcare utilization studies and genetic investigations of vascular malformations. Over the past decade, he has published extensively on comparative effectiveness of surgical approaches for craniosynostosis, with particular interest in endoscopic versus open techniques and their long-term outcomes. Dr. Proctor's recent publications demonstrate a sophisticated understanding of both clinical outcomes and underlying biological mechanisms. His research portfolio includes detailed morphological analyses of complex craniosynostosis cases, investigations into genetic regulators of cerebrovascular development, and practical studies on resource utilization in pediatric neurosurgery. His work bridges clinical practice, surgical innovation, and basic science investigation. Technical evolution of pediatric neurosurgery: craniosynostosis from 1972 to 2023 and beyond Comparative analysis of surgical approaches in nonsyndromic multiple-suture synostosis Genetic dysregulation of an endothelial Ras signaling network in vein of Galen malformations Single-institution Series of Hirayama Disease in North America Optic Nerve Edema in Pediatric Middle Cranial Fossa Arachnoid Cysts Dr. Proctor has mentored numerous neurosurgical residents and fellows, contributing significantly to neurosurgical education through his research on resident selection metrics and academic productivity. His work has helped shape contemporary approaches to pediatric neurosurgical care, with particular influence in the areas of minimally invasive techniques for craniosynostosis and management of complex craniovertebral junction abnormalities.

• Medical Artificial Intelligence
• Machine Learning
• Clinical Data Analysis
• +2 more

Karl Øyvind Mikalsen is an Associate Professor at the Department of Clinical Medicine, UiT The Arctic University of Norway. He is also a division leader at the Center for Patient-Near Artificial Intelligence (SPKI) at University Hospital of North Norway (UNN). His research focuses on applying artificial intelligence (AI) to healthcare, particularly in analyzing medical images, speech, and text using language models and machine learning, with applications such as anonymizing patient records and evaluating AI tools for clinical use. Research Interests: Mikalsen’s work bridges medical informatics and computer science, emphasizing explainable AI, clinical time series analysis, and medical image processing. He collaborates with UiT and UNN to integrate AI into healthcare systems. Recent Publications: His studies span AI-driven clinical coding, breast cancer detection via mammography, surgical infection prediction, and self-supervised representation learning for medical data. Key methodologies include transformer models, kernel methods for time series, and uncertainty-aware ensembles. Collaborations: Mikalsen works with researchers such as Robert Jenssen, Michael Kampffmeyer, and Arthur Revhaug, focusing on clinically relevant AI applications in Scandinavia.