جست‌وجوی استاد و پژوهشگر

Tatiana Kelilمشاهده پروفایل

دانشیار

• Breast Imaging
• 3D Printing
• Medical Visualization
• +۷ مورد دیگر

Tatiana Kelil, MD is an Associate Professor of Clinical Radiology at the University of California, San Francisco (UCSF), School of Medicine. She serves as Division Chief (Interim) of Breast Imaging and co-director of the UCSF Center for Advanced 3D Technologies. Dr. Kelil joined the UCSF faculty in 2018 after completing her Women's Imaging fellowship at the institution. Dr. Kelil's educational background includes: MD from Chicago Medical School (2012) Diagnostic Radiology Residency at Brigham and Women's Hospital, Harvard Medical School (2017) Women's Imaging Fellowship at University of California, San Francisco (2018) Undergraduate degree in Nursing prior to medical school Dr. Kelil's research focuses on innovative imaging techniques with particular emphasis on 3D printing applications in breast cancer management, machine learning for personalized risk assessment, and advanced visualization techniques including virtual and augmented reality. Her work bridges clinical practice with technological innovation to improve patient outcomes and surgical planning. She has pioneered the use of 3D-printed physical models converted from CT scans or MRIs for surgical planning and patient education in breast care. Analysis of Dr. Kelil's recent publications reveals a strong focus on the intersection of medical imaging technology and clinical applications. Her work spans breast imaging techniques, 3D printing applications, AI integration in radiology, and global health initiatives. The recurring themes across her publications include technological innovation in medical imaging, particularly in breast cancer diagnosis and management, with increasing emphasis on machine learning applications and global health applications of imaging technology. Dr. Kelil has received numerous awards including the RSNA Honored Educator Award (2017), RSNA Roentgen Resident/Fellow Research Award (2015), and Maker of Merit at the National Maker Faire (2015). Her other honors include the Glasgow-Rubin Certificate of Commendation from the American Medical Women's Association (2012), Alpha Omega Alpha recognition (2011), and the Academic Excellence Award from the American Society for Clinical Pathology (2010). Dr. Kelil's leadership extends to co-directing the UCSF Center for Advanced 3D Technologies, where her team converts two-dimensional imaging data into 3D-printed physical models for surgical planning. She also contributes to the Center for Intelligent Imaging (ci2), collaborating with data scientists on machine learning tools for breast cancer risk assessment. Her global health work includes establishing breast imaging services in Ethiopia through RAD-AID International and teaching in Tanzania through UC's Global Cancer Program. Dr. Kelil's laboratory and team structure includes her leadership role at the UCSF Center for Advanced 3D Technologies, where she provides imaging expertise for creating physical medical models. She collaborates extensively with the Center for Intelligent Imaging (ci2) on machine learning applications and works with global health teams in Ethiopia and Tanzania to establish breast imaging training programs in resource-limited settings.

Derek Andersonمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Information Fusion
• +۱۲ مورد دیگر

Derek Anderson is a Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri, within the College of Engineering. He is a core faculty member of the MU Institute for Data Science & Informatics and leads the Mizzou INformation and Data FUsion Laboratory (MINDFUL). His research spans artificial intelligence, machine learning, information fusion, computer vision, and remote sensing, with applications in defense, healthcare, and humanitarian technology. Education: PhD, University of Missouri MS, University of Missouri BS, Wichita State University Anderson's research focuses on foundational AI challenges, particularly explainable AI (XAI) and the use of simulated data to train robust models under uncertainty. He investigates how AI systems make decisions and how to communicate those decisions clearly to humans, especially in high-stakes environments like medical imaging and autonomous vehicles. His work leverages tools like Unreal Engine and Infinite Studio to generate photorealistic and multispectral synthetic data, enabling broader and more diverse training sets than real-world data alone can provide. His recent publications and projects highlight trends in generative AI limitations , AI ethics , infrared sensor innovation , and AI for humanitarian demining . These works collectively emphasize transparency, robustness, and societal benefit in AI development. Scientific Awards and Leadership: Program Co-Chair, three national AI conferences (2023) Member, IEEE USA AI Committee Member, IEEE CIS Industry & Government (I&GA) Committee Member, IEEE Vertical on Societal Implications of AI Anderson is deeply committed to mentoring the next generation of AI scientists. He advises undergraduate, master’s, and PhD students, many of whom engage in hands-on research from their first year. His lab has secured approximately $29 million in funding across 25 projects from agencies like the U.S. Army ERDC and the National Science Foundation. He has published over 190 articles and is a sought-after leader in the AI research community. His lab, MINDFUL, focuses on information fusion and AI under uncertainty, with active projects in drone-based sensing, material design, and geospatial analytics. The team uses simulation as a core methodology to advance AI trustworthiness and performance across diverse domains.

Carolyn Reillyمشاهده پروفایل

استاد

• Cardiovascular Disease Prevention
• Heart Failure
• Cardio-oncology
• +۵ مورد دیگر

Carolyn Reilly is a Professor and Director of the Division of Nursing at Berry College, where she leads academic and research initiatives grounded in caring, compassion, and creativity. She plays a pivotal role in shaping nursing education and advancing clinical research in cardiovascular health. Education: Ph.D., University of Nebraska Medical Center M.N., Emory University B.S.N., Brenau College Diploma, Georgia Baptist School of Nursing Her research focuses on heart failure, cardio-oncology, and cardiovascular disease prevention , particularly in cancer survivors. She explores biobehavioral interventions and self-care strategies to improve outcomes in chronic cardiovascular conditions. Her work bridges clinical practice, patient education, and health policy. Recent publications highlight trends in cardio-oncology, heart failure self-management, and the use of AI in cardiac imaging . Her research increasingly integrates interdisciplinary collaboration, health economics, and precision medicine approaches. She contributes to national scientific statements and clinical guidelines, influencing best practices in cardiovascular nursing. Scientific Awards and Honors: Fellow of the American Academy of Nursing (2021) Woodruff Leadership Academy Fellow (2019) Jean Thomas Award for Creativity in Teaching (2017) Nursing Investigator Award, Heart Failure Society of America (2014) Fellow of the American Heart Association (2012) Editorial Board Member, Heart & Lung Journal Dr. Reilly has secured significant grant funding from HRSA, AHA, CDC, and PCORI, serving as principal investigator and coinvestigator on projects related to rural healthcare expansion, congenital heart defect surveillance, and heart failure interventions. She mentors nursing students and leads high-impact research that improves patient care and health equity. Her leadership extends to national organizations and policy development in nursing and cardiovascular health. She directs the Nursing Education Program Expansion at Berry College and is involved in initiatives using high-fidelity simulation to increase nursing graduate capacity, particularly in rural Georgia. Her work emphasizes innovation in teaching and clinical training.

• Ophthalmology
• Neurosciences
• Biomedical Data Science
• +۴ مورد دیگر

Francisco González García is a Professor in the Department of Surgery and Medical-Surgical Specialties at the University of Santiago de Compostela's Faculty of Medicine and Dentistry. He holds affiliations with the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS) and the Vision Research Group in Ophthalmology and Visual Sciences. His academic career includes doctoral degrees from both the University of Santiago de Compostela (1982) and the University of La Laguna (2001), focusing on visuomotor neuroscience and otolaryngology. Research interests span ophthalmology, neurosciences, and biomedical data science with recent emphasis on retinal physiology, intraocular devices, and stem cell therapies. His work bridges clinical practice and engineering through innovations in tonometry techniques and smart lens development. Notable contributions include studies on prostaglandin-associated periorbitopathy and neuroprotective roles of erythropoietin in retinopathy. Publications (2021–2025) reflect multidisciplinary activity, combining clinical case reports with methodological advancements in neuronal activity modeling and orbital imaging. Collaborative projects like the Green Link initiative demonstrate environmental engineering applications of medical expertise in desertification reversal using fog capture technologies. He has advised numerous studies on ocular pharmacokinetics and thyroid eye disease management, though specific student names aren't listed. His lab work integrates computational tools like P-spline algorithms with traditional microscopy techniques.

Randi Rotneمشاهده پروفایل

مدرس ارشد

• Small Animal Surgery
• Veterinary Clinical Skills
• Orthopedic Surgery
• +۶ مورد دیگر

Randi Rotne is a Senior Lecturer in Small Animal Surgery at Charles Sturt University, affiliated with the School of Agricultural, Environmental and Veterinary Sciences. She holds a BVSc and PhD, and has over 20 years of clinical experience in veterinary practice, including running her own clinic in the Hawkesbury region. Her academic work spans teaching, research, and clinical supervision, with a focus on surgical education and small animal orthopedics. BVSc, University of Sydney PhD, University of Sydney (2017) – Biomechanical study on locking plates and bone blood supply Her research interests center on small animal surgery , clinical skills training , orthopedic biomechanics , and perioperative complications . She has developed innovative surgical teaching models and investigated outcomes in desexing and fracture repair. Her work bridges clinical practice and academic rigor, emphasizing evidence-based veterinary medicine. The recent articles show a strong focus on small animal surgical outcomes , diagnostic imaging , and educational tools . Key themes include ultrasound-guided procedures, bone healing assessment via CT and histopathology, and neonatal immunity in camelids. Her research integrates clinical data with educational innovation, particularly in surgical training models and pain management strategies. Canine interdigital grass seed foreign body retrieval using ultrasonography (Grant, 2021) Determining the incidence of perioperative acute kidney injury in dogs undergoing routine surgery (External Award, 2017) Investigations into locking plates and bone blood supply (Internal Award, 2016) Winner of early stage HDR presentation, The University of Sydney (2010) Winner of mid stage HDR presentation, The University of Sydney (2012) Randi Rotne actively supervises HDR students and contributes to research grants focused on surgical outcomes and educational tools. She is involved in peer review for journals such as the Journal of Veterinary Medical Education and collaborates with national initiatives like VetCompass Australia. Her work extends to community engagement through public events and media interviews on veterinary health topics. She is actively involved in developing teaching models for ultrasonography and clinical skills training. Her research team collaborates on projects related to surgical innovation, diagnostic validation, and veterinary education. She participates in professional networks such as VetEd Down Under and contributes to curriculum development in veterinary surgical training.

Zhigang Dengمشاهده پروفایل

استاد

• Human-Centered Computing
• Computer Graphics
• Computer Animation
• +۴ مورد دیگر

Zhigang Deng is the Moores Professor of Computer Science and Director of Graduate Studies at the University of Houston's Department of Computer Science. He earned his Ph.D. in Computer Science from the University of Southern California (2006), with earlier degrees from Peking University (M.S. 2004) and Xiamen University (B.S. 1997). His research focuses on Human-Centered Computing, Computer Graphics, and Computational Surgery, with notable contributions to insect flight simulation, surgical telementoring, and AI-human collaboration in medical diagnosis. He has been funded by NSF, NIH, NASA, and industry partners like Google and EA. His work is featured in ACM TOG, IEEE TVCG, and SIGGRAPH. Awards include the ACM Distinguished Member (2021), Moores Professorship (2021), and multiple best paper awards. He directs the University of Houston's Computer Graphics and Interactive Media Lab, and serves on editorial boards for IEEE TVCG and Computer Graphics Forum. Teaching includes courses on 3D Graphics and Game Development. Current research projects include surgical simulation frameworks (HySim), farm scene modeling from satellite data, and multimodal conversation analysis in multi-party interactions.

Andreas Enqvistمشاهده پروفایل

استاد

• Nuclear Engineering
• Radiation Detection
• Neutron Spectroscopy
• +۱۲ مورد دیگر

Andreas Enqvist is a Professor in the Department of Materials Science and Engineering at the University of Florida, College of Engineering, where he leads the Enqvist Research Group (LOKE). The group is part of the Nuclear Engineering Program and actively contributes to national and international efforts in nuclear nonproliferation, safeguards, and radiation detection. They are members of the US Department of Energy's National Nuclear Security Administration (NNSA) Consortium for Monitoring, Technology, and Verification (NA-22) and collaborate with NASA on planetary protection research. Their research focuses on the detection and modeling of neutron and gamma-ray signatures from nuclear materials, particularly fresh and spent nuclear fuel. Key areas include nondestructive assay, neutron spectroscopy, detector development (especially He-4 scintillators), data fusion with vision systems, and simulation using tools like MCNPX-PoliMi and SCALE. The group conducts experiments at the University of Florida Training Reactor (UFTR) and the National Criticality Experiments Research Center (NCERC). The recent publications (2020–2025) reflect a strong emphasis on optimizing detector configurations, neutron scatter cameras, pulse shape discrimination using machine learning, dry cask monitoring, and advanced data fusion techniques. There is a clear trend toward integrating physics-based models with AI/ML methods and developing compact, field-deployable systems for nuclear security applications. Member, NNSA NA-22 Consortium for Monitoring, Technology, and Verification Collaborator, NASA Planetary Protection Research Program Principal Investigator, NEUP-funded projects The group mentors several students and researchers, including Cat, Brice, Sai, Jaylen, Nuo, and Joseph. They have secured funding from NNSA and DOE for projects related to nuclear safeguards, verification technologies, and training reactor applications. Their work bridges fundamental nuclear physics with practical engineering solutions for global security and space exploration. The Enqvist Research Group operates within the University of Florida’s Nuclear Engineering infrastructure, utilizing the UF Training Reactor and advanced simulation capabilities. They collaborate with national laboratories and other university teams within the NNSA consortium, forming a key part of a larger network dedicated to advancing nuclear monitoring technologies.

• Radiation Oncology
• Cardiovascular Toxicity
• Breast Cancer Research
• +۳ مورد دیگر

Anne Crijns is a Physician Scientist at the Faculty of Medical Sciences , University of Groningen. Specializing in radiation oncology and hematology, her research focuses on radiation-induced cardiac toxicity in breast cancer patients , with significant contributions to understanding long-term cardiovascular complications post-radiotherapy. Her work explores: Radiation dosimetry impacts on cardiac function Proton therapy for second primary cancer risk reduction AI applications in cardiac structure contouring Biological modeling of radiation-induced atherosclerosis Recent publications highlight collaborations with international experts across Radiology: Cardiothoracic Imaging , Radiotherapy and Oncology , and Clinical and Translational Radiation Oncology . Scientific recognition includes the 2020 Best of ASTRO Abstract Designation . Contact: a.p.g.crijns@umcg.nl

David Lalushمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Medical Imaging
• Tomographic Reconstruction
• +۳ مورد دیگر

David Lalush is an Associate Professor in the Joint Department of Biomedical Engineering at North Carolina State University and The University of North Carolina at Chapel Hill. His research focuses on biomedical imaging, particularly in PET-MRI integration, X-ray imaging technologies, and applications of machine learning to medical imaging. He holds a Ph.D. in Biomedical Engineering from the University of North Carolina at Chapel Hill, an M.S. in Electrical Engineering from North Carolina State University, and a B.S. in Electrical Engineering from Lehigh University. Key research areas include simultaneous PET-MRI imaging for clinical applications in cancer and neuroscience, respiratory motion correction in upper abdominal PET imaging, and energy-resolved quantitative CT techniques. His lab emphasizes realistic imaging simulations and collaborations with clinical and research institutions. Recent publications highlight advancements in PET-MRI applications, machine learning-driven image synthesis (e.g., GANs), and neurobiological studies of dopamine and anhedonia. Courses taught include BME 412 (Biomedical Signal Processing) and BME 560 (Medical Imaging Systems). His work bridges engineering and clinical needs, with ongoing projects in multimodal imaging, motion correction algorithms, and translational biomedical research.

Carl Roobottomمشاهده پروفایل

استاد بالینی

• Radiology
• Medical Education
• Cross-Sectional Imaging
• +۵ مورد دیگر

Dr Carl Roobottom is an Honorary Consultant in Radiology and a key academic figure at the Peninsula Medical School, Faculty of Health, University of Plymouth. He chairs radiology teaching and leads the Radiology Academy at Derriford Hospital, a state-of-the-art postgraduate training facility dedicated to developing future radiology consultants. His work focuses on integrating cross-sectional imaging into undergraduate anatomy education and advancing postgraduate radiology training through innovative methods, including simulation technology. The Radiology Academy has been nationally recognized as a model of excellence in specialist training. His clinical and academic research centers on improving patient care through advanced imaging techniques, particularly in cardiovascular diagnostics. A highlighted REF Impact Case Study demonstrates his contribution to enhancing safety, health outcomes, and cost-effectiveness in chest pain patients using Computed Tomographic Cardiac Angiography (CTCA). Dr Roobottom has played a pivotal role in shaping radiology education both at the undergraduate and postgraduate levels. His leadership in establishing a dedicated radiology training academy underscores his commitment to medical education and clinical excellence. The Radiology Academy, located at Derriford Hospital, features a 140-seat lecture theatre and employs novel teaching methodologies, earning praise from national health leaders, including Marin Marshall, Deputy Chief Medical Officer, who described it in 2008 as a "shining light for all specialities."

• Ultrahigh Field MRI
• RF Engineering
• Antenna Design
• +۳ مورد دیگر

Alexander JE Raaijmakers is an Assistant Professor with a joint appointment at Eindhoven University of Technology (Department of Biomedical Engineering, Medical Image Analysis group) and University Medical Center Utrecht (7 Tesla Research group, Radiology Department). His research focuses on RF engineering for ultrahigh field MRI, including antenna design, body imaging, and RF safety protocols. He leads multiple projects involving 5 PhD students and 1 postdoc. Education: MSc in Applied Physics, University of Groningen (2004) PhD in Radiotherapy Physics, University Medical Center Utrecht (2008) Research Focus: His work bridges electromagnetic physics with clinical MRI applications, developing hardware/software solutions for ultrahigh field systems. Key innovations include dipole antenna arrays for MRI and safety frameworks for medical implants. Recent work integrates deep learning for image correction. Awards: Casimir Grant (2008-2010) for RF coil development at Philips Medical Systems Leadership: Directs the 7T Research Group at UMC Utrecht and collaborates on MRI education at TU/e. His team focuses on clinical translation for cardiac, prostate, and abdominal imaging.

• Database Systems
• Data-Driven Applications
• Declarative Programming
• +۷ مورد دیگر

Nitin Gupta is a researcher with affiliations spanning institutions like Google, Cornell University, and Carnegie Mellon University. His work bridges theoretical and applied computer science, focusing on database systems, data-driven applications, and knowledge graphs. Research interests include: Structured data on the web and semantic publishing Scalability in virtual environments and declarative programming Integration of large language models (LLMs) into scholarly workflows FAIR data principles and research data management Recent publications explore hybrid question answering datasets, LLM applications for literature reviews, and knowledge graph construction for software engineering. His contributions emphasize machine-actionable metadata, open science, and enhancing reproducibility through standardized research artifacts. Collaborations span institutions and disciplines, with coauthorships on topics like: Game development and data coordination Non-invasive brain stimulation analysis Neuro-symbolic approaches for digital libraries Ontology matching and FAIR digital objects

• Uncertain Data Management
• MapReduce Algorithms
• Social Choice Theory
• +۵ مورد دیگر

Anish Das Sarma is a researcher affiliated with Google, USA , specializing in uncertain data management, MapReduce algorithms, and knowledge graph systems. He earned a PhD from Stanford University in 2010 under the supervision of Jennifer Widom and Alon Halevy, with a dissertation on "Managing Uncertain Data." His career spans collaborations with leading institutions, focusing on scalable data integration, social choice theory, and machine learning applications in scholarly knowledge organization. PhD in Computer Science, Stanford University (2010) Key collaborations: Stanford, Google Research, NFDI4DataScience His research interests intersect uncertain data modeling , MapReduce optimization , and large language model applications for scientific synthesis. Recent work includes FAIR data frameworks, ontology learning, and clinical entity linking. Article trends highlight his evolution from foundational database systems (2004-2015) to modern applications of LLMs in scholarly communication (2023-2024). Key areas: scalable algorithms, research data management, and ethical AI.

Charles A. Sansurمشاهده پروفایل

استاد

• Spine Surgery
• Spinal Deformity
• Scoliosis
• +۵ مورد دیگر

Charles A. Sansur is a Professor of Neurosurgery at the University of Maryland School of Medicine, serving as Director of Spine Surgery for the Department of Neurosurgery. He holds secondary appointments in Orthopaedics and maintains clinical practice at the University of Maryland Medical Center (UMMC), South Hospital, S-12-D. Nationally recognized as a spine surgery expert, he frequently lectures at prominent societies including the American Association of Neurological Surgery and Congress of Neurological Surgeons. University of Pennsylvania, B.A. 1996 (Magna Cum Laude with Distinction) University of Maryland School of Medicine, M.D. 2002 Duke University/NIH, MHSc in Clinical Research 2002 Neurosurgery Residency: University of Virginia Medical Center (2003-2008) Spine Fellowships: Auckland City Hospital (2006-2007), University of Virginia (2008-2009) Dr. Sansur specializes in complex spine pathologies including spinal deformity, degenerative disease, spinal oncology, and spine trauma. His research focuses on spine outcome studies, spinal deformity correction, scoliosis management, and trauma interventions. He has pioneered techniques for conditions requiring specialized care unavailable in community settings, particularly in global sagittal deformity correction and complex spinal oncology. His work emphasizes evidence-based approaches to surgical decision-making in elderly patients with degenerative conditions. Analysis of his 250+ publications reveals consistent focus on large-scale outcome studies, with seminal contributions to understanding morbidity/mortality in adult scoliosis (10,242-patient study) and spondylolisthesis (10,329-patient study). His research leverages multi-institutional collaborations through the Scoliosis Research Society, emphasizing practical metrics like unintended durotomy rates (108,478-case analysis) and thromboembolism risks. Russell A. Hibbs Best Clinical Science Award, Scoliosis Research Society (2009) Baltimore Veterans Hospital Gold Pin Award for clinical excellence (2010) As Director of Spine Surgery, Dr. Sansur oversees complex surgical cases and leads research initiatives involving biomechanical studies, novel instrumentation, and outcome assessment. His current work explores augmented reality applications, sacroiliac joint fusion predictors, and advanced dural repair techniques. He serves on the Scoliosis Research Society Morbidity and Mortality Committee, driving national quality improvement efforts.

Jamie E. Podellمشاهده پروفایل

استادیار

• Neurocritical care
• Traumatic brain injury
• Paroxysmal sympathetic hyperactivity
• +۶ مورد دیگر

Jamie E. Podell, MD is an Assistant Professor in the Department of Neurology at the University of Maryland School of Medicine, specializing in neurocritical care with clinical expertise at the R. Adams Cowley Shock Trauma Center. His work focuses on traumatic brain injury (TBI), paroxysmal sympathetic hyperactivity (PSH), and autonomic dysfunction in critically ill neurological patients. Education 2008: B.A. in Cognitive Science (with distinction, cum laude), Yale College 2014: M.D., Perelman School of Medicine, University of Pennsylvania 2008-2010: Intramural Research Training Award (IRTA) Fellow, National Institutes of Mental Health 2014-2015: Intern in Internal Medicine, Hospital of the University of Pennsylvania 2015-2018: Resident in Neurology, Hospital of the University of Pennsylvania 2018-2020: Fellow in Neurocritical Care, University of Maryland Medical Center/Shock Trauma Research Focus Dr. Podell's research integrates neurocritical care , autonomic physiology , and advanced analytics to address TBI complications. Key areas include: machine learning for prognostication in diffuse axonal injury; dual-energy CT for predicting cerebral edema; continuous physiologic monitoring of autonomic dysfunction; and management of paroxysmal sympathetic hyperactivity. His work bridges neuroimaging, physiologic modeling, and neuromodulation to develop automated severity assessment tools. Publication Trends His 2023-2025 publications reveal three dominant themes: (1) Machine learning applications for TBI outcome prediction using lesion segmentation and physiologic data; (2) Advanced neuroimaging techniques (dual-energy CT, diffusion kurtosis MRI) to identify biomarkers of neurological decline; (3) Clinical management of autonomic dysfunction, particularly PSH in TBI patients. This work consistently emphasizes real-time monitoring and data-driven interventions in neurocritical care. Scientific Recognition Intramural Research Training Award (IRTA) Fellow, National Institutes of Mental Health (2008-2010) Clinical & Educational Activities Dr. Podell contributes to neurocritical care education through simulation-based training for neurological emergencies, including post-cardiac arrest resuscitation and acute stroke management. His work on disorders of consciousness assessment and neurorecovery clinics demonstrates commitment to translational care. While specific grants aren't detailed, his machine learning and physiologic modeling research suggests active collaboration with data science groups. Clinical Affiliations He is embedded within the University of Maryland's neurocritical care ecosystem, working closely with the Shock Trauma Center's neurotrauma team and the Center for Brain Injury and Repair. His research leverages the institution's high-volume trauma data for developing predictive models in TBI management.