Sanjeev M. Raman, MD is a Clinical Associate Professor of Medicine at the University of Utah School of Medicine , specializing in Pulmonary and Critical Care Medicine . His clinical expertise includes Lung Transplantation , Advanced Lung Disease , and COPD , with active research involvement in the NHLBI-funded SPIROMICS and SOURCE studies. Education: MBBS from Grant Medical College, MD from University of Mumbai, residency at Michigan State University, fellowship at Baylor College of Medicine Leadership: Medical Director of Pulmonology inpatient services, site PI for NIH Siltuximab-AMR trial Research focuses on COPD subpopulations , lung transplant immunology , and biomarker discovery through longitudinal studies. His work spans genomic , phenotypic , and clinical data analysis for precision medicine applications. Clinical leadership roles include oversight of Medical Intensive Care Unit operations and pandemic preparedness via the hospital's "Code-Bio" team. He actively trains fellows , residents , and medical students across multiple disciplines.
Pernilla Ingelsson is an Associate Professor and Head of Department at Mid Sweden University, affiliated with the Department of Communication, Quality Technology and Information Systems (KKI). She specializes in quality management, leadership, and sustainable organizational culture development. Current Projects : Collaborative initiatives with Sundsvall Municipality (team-based working methods, functional teams) and a Kamprad Research Foundation-funded project applying the Magnet Model in special housing sectors. Teaching : Leads the master's program in Quality and Leadership Development and develops industry-specific training programs for public and private organizations. Research Interests center on creating sustainable quality cultures through values, behaviors, and team dynamics. She explores how top management teams drive organizational change, with applications in healthcare and education. Her work bridges Lean methodologies with sustainability goals, emphasizing employee engagement and customer value creation. Publications cover topics like value-based leadership, transitional care quality, preschool assessment models, and team collaboration frameworks. Her research often employs mixed-method approaches, including interactive design, systematic reviews, and scoping studies. Collaborations span healthcare (ICU transfers, nursing homes), municipal services, and private sector quality initiatives, reflecting her interdisciplinary focus on organizational and regional development.
Brett Schrewe is a Clinical Assistant Professor of Pediatrics at the University of British Columbia (UBC), actively working in the neonatal intensive care unit in Surrey while teaching medical learners across Vancouver, Victoria, northern Manitoba, and Iqaluit. He concurrently pursues doctoral studies in Educational Studies at UBC, focusing on transforming physician training through the lens of health equity and social accountability. His educational background includes: MDCM from McGill University Completion of pediatric residency at UBC Clinical Educator Fellowship at UBC's Centre for Health Education Scholarship MA in Interdisciplinary Studies (Anthropology/Educational Studies) from UBC Dr. Schrewe's research critically examines how medical education prioritizes technical expertise over social responsibility, advocating for a "physician as medical citizen" model where clinical skills serve health equity for all Canadians regardless of socio-cultural or geographic barriers. His work employs historical and discursive methodologies to reimagine curriculum design and professional identity formation, emphasizing Indigenous language preservation through initiatives like the Iqaluit Inuktitut literacy project. He actively bridges academic work with community engagement as a board member of RésoSanté Colombie-Britannique and UBC faculty representative for the FrancoDoc collaboration, which strengthens French-language healthcare services for British Columbia's Francophone communities. His refugee health advocacy in Montreal and northern medical outreach demonstrate sustained commitment to underserved populations. No scientific awards were documented in the source materials. While Dr. Schrewe regularly teaches medical students and residents across multiple clinical sites, no specific advisees or grant funding details were provided in the texts. His community-based projects—including the Inuktitut literacy initiative and FrancoDoc collaboration—operate through institutional partnerships rather than traditional laboratory structures.
Professor Malka Gorfine Orgad is a distinguished faculty member in the Department of Statistics and Operations Research at the School of Mathematical Sciences, Tel Aviv University. She has held the position of Professor since 2016, following her promotion from Associate Professor (2014-2016). Additionally, she maintains a long-standing affiliation as an Affiliate Investigator at the Division of Public Health Sciences, Fred Hutchinson Cancer Research Center in Seattle since 2003. Prof. Gorfine Orgad earned her MA (1994) and PhD (1999) in Statistics from the Hebrew University of Jerusalem under the supervision of Professors Banjamin Yakir and David Zucker. Her academic journey includes previous appointments as Associate Professor at Harvard School of Public Health (2011-2012) and at the Technion - Israel Institute of Technology (2010-2014), where she served as Senior Lecturer prior to that. Her research focuses on survival data analysis, non-parametric statistics, biostatistics, and machine learning. Specifically, she investigates inference based on Survival Deep Learning, natural experiment methods for causal inference, and various challenges of causal inference with survival outcomes. She has developed several innovative methodologies for survival analysis, particularly in the areas of competing risks, semi-competing risks, and illness-death models. Analysis of her recent publications reveals a strong emphasis on practical applications of survival analysis methodology to real-world health problems, particularly related to cancer and infectious diseases like COVID-19. Her work frequently bridges theoretical statistical development with practical implementation through software packages, demonstrating her commitment to making advanced methods accessible to applied researchers. Associate Editor of JASA Applications and Case Studies (2022 - present) Associate Editor of EJS (2022 - present) Associate Editor of Scandinavian Journal of Statistics (2021 - 2024) Co-Editor of Biometrics (2017 - 2019) Associate Editor of Biometrics (2009 - 2016) Member of Editorial Board of Lifetime Data Analysis (2013 - 2016) Prof. Gorfine Orgad actively mentors students at all levels, currently supervising one postdoc, two PhD students, and four MSc students, with numerous former students who have completed their degrees under her guidance. She serves as co-chair of the STRATOS TG8 (Survival Analysis Topic Group), which provides guidance on survival analysis methods for observational studies. She has also developed multiple software packages including PyMSM, PyDTS, frailty-LTRC, HHG, and others that implement her methodological contributions for the broader research community.
Manuel Filipe Vieira Torres Santos is an Associate Professor with Habilitation at the School of Engineering of the University of Minho, Portugal. He serves as a Senior Researcher at Centro ALGORITMI (Associate Laboratory in Intelligent Systems) where he coordinates the Intelligent Data Systems research lab and the Information Systems and Technologies research group. His academic career combines teaching responsibilities with extensive research activities focused on data science applications in healthcare settings. Dr. Santos' research interests center on applying advanced computational techniques to healthcare challenges. His primary areas include Machine Learning, Knowledge Discovery from Databases, Data Mining, Agent-based Systems, and Intelligent Decision Support Systems. He has pioneered work in Pervasive and Adaptive Business Intelligence specifically tailored for healthcare environments. His research spans both theoretical advancements in data science methodologies and practical implementations in real-world medical settings, particularly in intensive care units, hospital management, and precision medicine applications. Analysis of his recent publications reveals a strong trend toward integrating emerging technologies like blockchain, Internet of Things, and openEHR standards into healthcare information systems. His work demonstrates a progression from foundational data mining techniques to increasingly sophisticated architectures that support real-time decision making, predictive analytics, and personalized patient care. The publications show particular emphasis on standardization efforts, interoperability challenges, and the development of maturity models for digital transformation in healthcare institutions. Coordinator of Intelligent Data Systems research lab Coordinator of Information Systems and Technologies research group Principal Investigator for multiple funded projects including: Intelligent hospitalization management (2021-present) Data Science applied to diabetes (2021-present) Intelligent Decision Support for response times optimization (2020-present) Intelligent Hospital Infection Control (2020-present) Dr. Santos has secured significant research funding for healthcare analytics projects, demonstrating the practical value of his work. His approach combines technical expertise in data science with deep understanding of healthcare workflows and challenges, resulting in solutions that address real clinical needs while advancing the state of the art in health informatics.
Assoc. Prof. Dr. Burcu TOTUR DİKMEN is an Associate Professor and Vice Dean at Near East University's Faculty of Nursing, Department of Surgical Diseases Nursing. She joined the university in 2016 as an Assistant Professor and was promoted to Associate Professor in 2023. Her leadership role as Vice Dean began in September 2021. Education Bachelor of Nursing (2002) - Ege University İzmir Atatürk Health School Nursing Department Master's in Surgical Nursing (2006) - Ege University Health Sciences Institute PhD in Surgical Nursing (2015) - Ege University, with a thesis titled "Gastric Residual Management in Enteral Fed Patients in the Intensive Care Unit" Research Focus Her primary research domains include: Clinical Nursing : Specializing in surgical patient care, operating room protocols, and intensive care unit management Therapeutic Nutrition : Investigating enteral feeding methodologies for critical patients Medical Education : Developing nursing pedagogy and clinical training frameworks She maintains an active publication record in indexed journals and regularly presents at international congresses.
Abbas Ratansi serves as a Lecturer Practitioner at Anglia Ruskin University (ARU) within the School of Allied Health and Social Care, Faculty of Health, Medicine and Social Care. A graduate of ARU himself, he combines nearly two decades of clinical experience as a Senior Operating Department Practitioner with his academic role, maintaining active clinical practice to ensure teaching relevance and currency in perioperative care. His educational foundation includes a Diploma of Higher Education in Operating Department Practice. Registered with the Health & Care Professions Council, Ratansi possesses extensive hands-on expertise across trauma/orthopaedics, ENT, gastrointestinal surgery, and obstetrics for both adult and paediatric patients. His clinical specialization spans all three phases of operating department practice—anaesthesia, surgery, and recovery—with particular focus on difficult airway management and preoperative cardiopulmonary exercise testing (CPET/CPEX) for complex surgical cases. Ratansi's research trajectory centers on innovative educational methodologies including holographic simulation for healthcare training and 3D-printed medical equipment, alongside critical examinations of student learning styles, healthcare access disparities, and global perioperative best practices. Currently completing a Postgraduate Certificate in Medical and Healthcare Education, he actively develops these research streams while teaching the BSc (Hons) Operating Department Practice program. His scholarly output includes a notable 2015 presentation at the World Airway Management Meeting addressing interdisciplinary airway training approaches. Professional affiliations reflect his commitment to field standards through membership in the Difficult Airway Society (affiliate), Royal College of Anaesthetists, Health & Care Professions Council, The Royal Institution, and Association for Perioperative Practice.
Professor Beatrice Podtschaske serves as Professor of Healthcare Management & eHealth at the Flensburg University of Applied Sciences, Faculty of Business and Economics. She also holds the important position of Vice President for Curriculum Development, Digitalization, Equality and Diversity at the university. Her work focuses on bridging healthcare management with digital innovation, particularly in developing human-centered approaches to healthcare technology and processes. Dr. Podtschaske's research interests span multiple critical areas in modern healthcare: human-centered design of healthcare systems (Human Factors Engineering), user-centered innovation and implementation processes, and the integration of eHealth, robotics, and artificial intelligence in healthcare settings. Her work specifically addresses how technology can better serve patients and healthcare professionals through thoughtful design that considers the complex realities of medical environments. Her recent publications demonstrate consistent focus on healthcare system optimization, particularly examining critical care information systems, patient safety, and the implementation of digital tools in medical settings. The research trends show increasing attention to artificial intelligence applications in healthcare, particularly in end-of-life care contexts through her CARE-AI project and FLAIR (Flensburg Artificial Intelligence Research) initiatives. Dr. Podtschaske is currently leading efforts to build a new nursing degree program at the university to address workforce shortages in healthcare. She is also actively involved with the Institute for eHealth and Healthcare Management (IEMG), where she serves as a contact person for business administration, academic student advising, and internships with a focus on healthcare management. Her career path includes significant international experience, having worked at Stanford University Hospital in patient safety and built a user research group at a medical technology company in Silicon Valley. This practical industry experience informs her academic work, giving her research strong real-world applicability and relevance.
Dr. Alina Rwei is an Assistant Professor in the Department of Chemical Engineering at Delft University of Technology (TU Delft), Faculty of Applied Sciences. She leads the Rwei Group, focusing on innovative biomedical technologies at the intersection of materials science, engineering, and biology. Her research aims to bridge clinical translation with scientific discovery through smart therapeutic and diagnostic platforms. Academic Background: Bachelor’s and Ph.D. in Chemical Engineering and Materials Science and Engineering from the Massachusetts Institute of Technology (MIT) Ph.D. supervised by Prof. Robert Langer (MIT) and Prof. Daniel Kohane (Harvard Medical School) Postdoctoral training in the lab of Prof. John Rogers at Northwestern University Research Interests: Dr. Rwei’s work focuses on precision medicine through externally triggerable drug delivery systems and wearable biosensors. Her group develops liposome-based platforms activated by light, ultrasound, and magnetic fields for targeted cancer and pain therapies. Concurrently, they engineer wearable bioelectronic sensors for real-time, non-invasive monitoring of biomarkers in sweat and physiological states, particularly in pediatric and neonatal care. Publication Trends: Her recent publications reflect a strong emphasis on translational biomedical engineering, combining nanotechnology with clinical applications. Key themes include ultrasound- and light-responsive drug carriers, wearable biosensors for cerebral hemodynamics, and aptamer-based detection systems. The integration of modeling, in vitro/in vivo validation, and device engineering underscores a systems-level approach to therapeutic innovation. Scientific Awards: Postdoctoral Fellowship Research Training Award (TL1) – NIH/NCATS Clinical and Translational Science Awards Program Advising and Grants: Dr. Rwei actively mentors a diverse team of postdocs, PhD candidates, and master’s and bachelor’s students. She supervises numerous MEP and BEP projects, fostering early-career development in interdisciplinary research. While specific grants are not listed, her NIH-supported postdoctoral fellowship and high-impact publications in journals like Nature Medicine and Science Advances suggest a strong grant funding profile. Labs and Teams: The Rwei Group operates at TU Delft, conducting cutting-edge research in precision therapeutics. The team is structured around two main tracks: externally triggerable nanoparticles and wearable sensor technology. They collaborate with clinical and engineering partners to develop closed-loop therapeutic systems and multiplexed sensing platforms for real-world healthcare applications.
Sebastian Rachuba is an Assistant Professor at the University of Twente, affiliated with the Digital Society Institute, the TechMed Centre, and the Department of Industrial Engineering & Business Information Systems within the Faculty of Engineering Technology. His work bridges operations research and healthcare innovation, focusing on improving hospital systems through data-driven planning and digital transformation. Research Interests: His expertise lies in Operations Research , Healthcare Systems Engineering , Emergency Department Management , Integrated Hospital Planning , and the application of Artificial Intelligence in clinical settings. He investigates how predictive models and optimization techniques can enhance patient flow, scheduling, and resource utilization across hospitals. His recent publications highlight a consistent focus on integrated planning across departments—particularly between operating rooms and intensive care units—and the use of neural networks to predict inpatient admissions in emergency wards. These works reflect a strong trend toward digital health solutions, AI-enabled decision support, and system-level optimization in healthcare delivery. Contributor to UN Sustainable Development Goals, particularly in health and well-being (SDG 3). Active in literature reviews, empirical evaluations, and model development in health operations. Collaborates with researchers in Germany and the Netherlands on hospital logistics and process improvement. Dr. Rachuba has not listed any formal advisees or awards in the provided materials. He is actively publishing in high-impact journals such as European Journal of Operational Research and BMC Health Services Research , and his work appears in preprint repositories like arXiv. He is involved in interdisciplinary research teams focused on digital transformation in healthcare.
Hans Friberg is an Adjunct Professor in Anesthesiology and Intensive Care at Lund University, serving as Consultant and Project Manager for the Center for Cardiac Arrest and SWECRIT (Swedish Critical Care Registry). His work advances UN Sustainable Development Goals related to health through critical care research and registry-based initiatives. His research centers on cardiac arrest pathophysiology and treatment, with expertise in out-of-hospital resuscitation, targeted temperature management, and biomarker development for brain injury and organ dysfunction. Key focus areas include prognostication methods, hypothermia protocols, and long-term cognitive/physical recovery in survivors. Recent publications emphasize biomarker applications in critical care settings, including calprotectin for sepsis diagnosis, cystatin C for renal risk stratification, and neurofilament for neurological outcomes. His work leverages large-scale registry data (SWECRIT) to identify risk factors and evaluate interventions across diverse critical illness populations. Scientific Awards: No major awards or fellowships are documented in the provided profile. Professor Friberg has supervised 12 doctoral students across critical care topics including acute kidney injury biomarkers, post-ICU recovery, and sepsis pathophysiology. He leads active projects such as the SWECRIT Covid-19 cohort study and contributes to international trials like TTM2, with funding from institutional and registry-based sources. He operates through the Center for Cardiac Arrest and SWECRIT collaborative networks, which integrate 30+ Swedish intensive care units to drive registry-based research on resuscitation science and critical care delivery optimization.
Elaine Towner is a Senior Lecturer in Nursing at the University of New England (UNE), affiliated with the School of Health within the Faculty of Medicine and Health. She has been a member of the academic staff since 2014, contributing to nursing education and research with a focus on clinical excellence and rural healthcare contexts. Her educational background includes a Bachelor of Nursing, Graduate Certificate in Acute Care Nursing, and Master of Nursing from the University of New England, complemented by a Master of Research from the University of Southern Queensland. Her research centered on the experiences of new graduate nurses in rural settings, particularly in recognizing and managing deteriorating patients. Bachelor of Nursing, University of New England Graduate Certificate in Acute Care Nursing, University of New England Master of Nursing, University of New England Master of Research, University of Southern Queensland Elaine's research interests lie at the intersection of nursing practice and education, with emphasis on acute and critical care, rural health challenges, clinical leadership, and the professional development of early-career nurses. Her expertise is grounded in over a decade of clinical experience as a Clinical Nurse Specialist across Intensive Care, High Dependency, Coronary Care, Emergency Departments, Operating Theatres, and Medical/Surgical units. While no publications or awards are listed in the provided text, her scholarly presence is indicated through her ORCID and ResearchGate profiles. She is actively engaged in teaching and professional development within higher education. Elaine has not received any scientific awards mentioned in the text. She has contributed to nursing education and mentorship, although specific advisees or grant funding are not detailed. Her work supports the integration of clinical rigor and pedagogical innovation in preparing future nurses for complex healthcare environments, especially in regional and rural Australia. There is no mention of laboratory affiliations, research teams, or collaborative groups in the available information.
Ashley de Bie serves as a University Researcher at Eindhoven University of Technology within the Department of Electrical Engineering's Signal Processing Systems group. She is deeply embedded in the Eindhoven MedTech Innovation Center, a strategic partnership between TU/e and Catharina Hospital that drives medical technology translation into clinical practice. Her work directly addresses UN Sustainable Development Goals for health and well-being through engineering-clinical collaborations. Her research centers on machine learning applications for critical care, with three core thrusts: (1) developing and validating early warning systems like the Advanced Alert Monitor for patient deterioration detection; (2) creating computational tools for mechanical ventilation optimization, particularly in identifying patient-ventilator asynchrony; and (3) designing clinical decision support systems such as the TraceBook tool for individualized patient management. This work consistently bridges algorithm development with real-world hospital implementation. Analysis of her 2022-2025 publications reveals a strong trend toward context-specific validation of medical algorithms in Dutch healthcare settings. Key patterns include local optimization of international models, integration of clinician feedback in design cycles, and rigorous multicenter trials like the PRECISe study on critical care nutrition. Her publications demonstrate exceptional translational impact, with several tools already deployed in hospital workflows. With 349 Scopus citations and significant media attention (8 press mentions, 121 X posts, 101 Mendeley readers), her work resonates across academic and clinical communities. The PlumX metrics show particularly strong clinical uptake, with news coverage and social media engagement indicating real-world relevance. Dr. de Bie has supervised 5 students and maintains a robust collaborative network spanning TU/e's engineering departments and Catharina Hospital's clinical units. Her projects consistently involve multidisciplinary teams of data scientists, biomedical engineers, intensivists, and nurses, reflecting the complex nature of healthcare innovation. As a core contributor to the Signal Processing Systems group and Eindhoven MedTech Innovation Center, she operates within a dynamic ecosystem focused on rapid prototyping and clinical validation of medical technologies. Her current work with the Advanced Alert Monitor team exemplifies this environment, where algorithms move from simulation to hospital wards within months.
Tania Ligori serves as a Clinical Associate Professor in the Department of Anesthesia at McMaster University, with 9 scholarly publications over the last decade demonstrating active engagement in clinical research. Her work bridges anesthesiology, critical care medicine, and health services implementation, particularly through systematic reviews and mixed-methods studies. Her research focuses on: Airway management innovations, including fiberoptic intubation techniques and oral airway efficacy Sedation protocols for ophthalmic surgeries (vitreoretinal and cataract procedures) Implementation science for end-of-life care transition into clinical practice Pandemic-responsive critical care operations in ICU settings Patient-centered outcomes in surgical preparedness and satisfaction These interests reflect her commitment to evidence-based clinical translation and interprofessional collaboration. Publication analysis (2019-2024) reveals three dominant trajectories: device-focused airway research (33% of output), end-of-life care implementation (33%), and ophthalmic anesthesia optimization (22%). Her systematic reviews on intubating airways directly inform clinical guidelines, while pandemic-era ICU operations research demonstrates methodological adaptability in crisis conditions. Although no formal awards are documented, her work has been referenced in clinical guideline sources and accumulated significant Mendeley readership (1-54 readers per publication), indicating practical impact within medical communities. Dr. Ligori maintains a robust collaborative network with 22 co-authors, most frequently partnering with Deborah Cook (5 publications), Roman Jaeschke (5 publications), and Meredith Vanstone (4 publications). The VIVO database lists no current grants, though her publication record suggests ongoing research activity potentially supported by unreported funding mechanisms. Her research operations emphasize interprofessional team structures, particularly evident in pandemic-informed ICU studies and end-of-life care implementation projects. The 2022 "Multistudy Research Operations" publication exemplifies her approach to building resilient, cross-disciplinary research frameworks capable of adapting to healthcare crises.
Amélia Filomena Oliveira Mendes Castilho serves as Coordinating Professor at Coimbra School of Nursing, Polytechnic Institute of Coimbra, Portugal, where she has held academic positions since 2000, progressing from Assistant Professor to her current rank. Her doctoral research at University of Porto focused on adverse events in nursing care, establishing her expertise in patient safety systems. Education: PhD in Nursing Sciences (2015), University of Porto - 'Adverse events associated with nursing care: contributions to safety policy' (Very Good with Distinction) Master's in Health Management and Economics (1999), University of Coimbra - 'Evolution and structure of private health expenditure in Portugal 1980-1995' (Very Good) Bachelor's in Medical-Surgical Nursing (1991), Coimbra School of Nursing General Nursing Course (1981), Coimbra School of Nursing Her research centers on patient safety systems, particularly in operating rooms and intensive care units, with significant contributions to surgical safety checklists and medication error prevention. She integrates leadership development through simulation-based training, creating innovative educational frameworks for nursing leadership competencies. Her work bridges clinical practice with health systems management, focusing on practical interventions to improve healthcare quality. Recent publications demonstrate consistent focus on safety culture measurement, leadership role analysis, and entrepreneurship in nursing education. Her work shows methodological diversity from psychometric validation studies to intervention trials, with increasing emphasis on multidisciplinary team performance and simulation training effectiveness. Scientific Recognition: 2nd Prize for Free Communication (2009) Academic Merit Diploma (2014) Research Promotion Award from Portuguese Ministry of Health (1998) As Principal Investigator for multiple Erasmus+ projects including E-SAFE and DeMoPhaC, she leads international collaborations focused on quality improvement in healthcare education. Her Health Sciences Research Unit Nursing coordinates studies on operating room safety and interprofessional pharmaceutical care. Current work through the PROJETO ESTRUTURANTE DA UICISA examines professional practices in safe care environments, with emerging focus on crisis resource management in multidisciplinary teams. She directs the SimuCarePro-CRM project implementing simulation training for leadership development across European nursing programs, creating standardized competency frameworks for crisis management in healthcare settings.
