School of Medicine
Showing 521-540 of 5,029 Results
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Jennifer L. Bruno
Instructor, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
Current Research and Scholarly InterestsDr. Bruno is a translational researcher at the interface of developmental cognitive neuropsychology and neurobiology. An overarching goal of her work is to understand developmental windows of vulnerability—periods of risk for falling off the trajectory of typical brain development. Her research utilizes genetics, brain imaging, and deep behavioral phenotyping to bridge computational science with clinical knowledge, translating cutting-edge science to solve problems of great clinical need.
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Douglas L. Brutlag
Professor of Biochemistry, Emeritus
Current Research and Scholarly InterestsMy primary interest is to understand the flow of information from the genome to the phenotype of an organism. This interest includes predicting the structure and function of genes and proteins from their primary sequence, predicting function from structure simulating protein folding and ligand docking, and predicitng disease from genome variations. These goals are the same as the goals of molecular biology, however, we use primarily computational approaches.
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Zev Bryant
Associate Professor of Bioengineering and, by courtesy, of Structural Biology
Current Research and Scholarly InterestsMolecular motors lie at the heart of biological processes from DNA replication to vesicle transport. My laboratory seeks to understand the physical mechanisms by which these nanoscale machines convert chemical energy into mechanical work.
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Vivek P. Buch, MD
Assistant Professor of Neurosurgery and, by courtesy, of Bioengineering
BioDr. Buch is a neurosurgeon with fellowship training in epilepsy, functional, and minimally invasive neurosurgery. He is an Assistant Professor of Neurosurgery, and Christina and Hamid Moghadam Faculty Scholar at Stanford University.
Dr. Buch focuses his expertise on the open and minimally invasive treatment of epilepsy, low grade brain tumors, movement and neuropsychiatric disorders, facial and body pain syndromes, and other complex neurological conditions. He uses advanced and innovative techniques to treat both adult and pediatric patients. For each patient, he develops a personalized care plan that is designed to be both comprehensive and compassionate.
Dr. Buch has conducted extensive research. His career goal is to develop restorative bioengineering approaches for complex neurocognitive, neurodevelopmental, and neuropsychiatric disorders. He is creating network-neuroprosthetics and precision molecular therapies to restore abnormal brain circuit function in these vulnerable patient populations. He is further pioneering novel intraoperative technologies including personalized network-based targeting, holographic mixed reality, and artificial intelligence platforms for minimally invasive cranial surgery.
He has co-authored articles on his research discoveries in Science, Nature, Nature Medicine, Neuron, Brain, Annals of Surgery, Frontiers in Neuroscience, Epilepsia, Brain Stimulation, Stereotactic and Functional Neurosurgery, Surgical Innovation, Frontiers in Surgery, Journal of Neurosurgery, and many other journals. Articles focus on developing novel network control theory applications to human brain functions and new techniques and technologies to enhance neurosurgical effectiveness and patient outcomes.
He is the Section Editor for NEUROSURGERY, and a guest editor for Surgical Innovation and Brain Sciences. He also has co-authored chapters in the books Neurosurgical Atlas, Operative Techniques in Epilepsy Surgery, Deep Brain Stimulation, and The Encyclopedia of Medical Robotics.
Dr. Buch has presented the findings of his research at the national conferences of numerous professional associations. Among them are the American Association of Neurological Surgeons, Society for Neuroscience, Congress of Neurological Surgeons, and Society for Imaging Informatics in Medicine. Topics include understanding network mechanisms of cognitive control and advances in the use of augmented reality technology to enhance neurosurgical approaches.
For his clinical, research, and academic achievements. Dr. Buch has earned many honors. He has won awards from the American Association of Neurological Surgeons, American Roentgen Ray Society, Congress of Neurological Surgeons, and National Institutes of Health.
Dr. Buch is a member of the American Association of Neurological Surgeons, Congress of Neurological Surgeons, World Society for Stereotactic and Functional Neurosurgery, American Association of Stereotactic and Functional Neurosurgery, and Alpha Omega Alpha Medical Honor Society.
He holds patents on such topics as artificial intelligence systems designed to help guide surgery and neural control signals for behavioral modification and closed-loop stimulation therapy.
Essential tremor patient story: https://www.youtube.com/watch?v=fV6BzyU9b3c
Parkinson's disease patient story: https://www.youtube.com/watch?v=vAKP7SRKs08
Epilepsy patient story: https://www.youtube.com/watch?v=HXy-gXg0t94&t=3s
Deep brain stimulation treatment: https://www.youtube.com/watch?v=xLgEcb447gA&t=1s
Laser interstitial thermal therapy treatment: https://www.youtube.com/watch?v=z-nRUMbs2kY&t=2s
MR-guided focused ultrasound treatment: https://www.youtube.com/watch?v=3Bwq2YxD9eU -
Bruce Buckingham
Professor of Pediatrics (Endocrinology) at the Lucile Salter Packard Children's Hospital, Emeritus
Current Research and Scholarly InterestsMy major interest is in type 1 diabetes mellitus, continuous glucose sensor, and the development of an artificial pancreas. Other research interests include using continuous glucose monitoring and algorithms to control blood glucose levels in intensive care units.
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Paul Buckmaster, DVM, PhD
Professor of Comparative Medicine and of Neurology and Neurological Sciences
Current Research and Scholarly InterestsMechanisms of epilepsy, especially temporal lobe epilepsy.
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Marion S. Buckwalter, MD, PhD
Professor of Neurology and Neurological Sciences (Adult Neurology) and of Neurosurgery
Current Research and Scholarly InterestsThe goal of the Buckwalter Lab is to improve how people recover after a stroke. We use basic and clinical research to understand the cells, proteins, and genes that lead to successful recovery of function, and also how complications develop that impact quality of life after stroke. Ongoing projects are focused on understanding how inflammatory responses are regulated after a stroke and how they affect short-term brain injury and long term outcomes like dementia and depression.
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Sujatha Buddhe
Clinical Professor, Pediatrics - Cardiology
Clinical Associate Professor (By courtesy), Radiology - Pediatric RadiologyBioDr. Buddhe earned her medical degree from the Osmania Medical College, Hyderabad, India. She completed her pediatrics residency and chief residency at the Brookdale University Hospital and Medical Center, NY and pediatric cardiology fellowship at the Children's Hospital of Michigan. Her advanced fellowship training in pediatric cardiac non-invasive imaging was completed at the Columbia University College of Physicians and Surgeons, Morgan Stanley Children's Hospital in New York. She earned her Masters degree in Clinical research and statistical analysis at the University of Michigan, Ann Arbor. She worked at Seattle Children's Hospital, University of Washington for almost ten years where she served as the Director of Non-invasive Imaging research and the Co-Director of cardiac MRI program. Her research interests include echocardiography and Cardiac MRI.
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Nam Quoc Bui
Clinical Associate Professor, Medicine - Oncology
BioDr. Bui is a Clinical Associate Professor of Medicine at the Stanford Cancer Institute and a specialist in Sarcoma. Dr. Bui earned an undergraduate degree in Computer Science at Stanford University and went on to earn his medical degree from the University of Texas Southwestern Medical Center. He completed Internal Medicine residency at Stanford Hospital and Hematology/Oncology fellowship at the University of California San Diego, where he performed extensive research in bioinformatics to analyze tumor sequencing data.
He is involved in numerous sarcoma clinical trials, leading efforts to take new therapeutics from the lab to clinical practice. His research background and interests are in the field of bioinformatics as applied to large data sets and the study of novel compounds in rare malignancies. He also is involved in education at the Stanford University School of Medicine, serving as a lecturer and mentor to medical students, residents, and oncology fellows. Dr. Bui is the founding Editor-in-Chief of the journal “Current Problems in Cancer: Case Reports”, an international, peer-reviewed journal that publishes groundbreaking cases that give insight into redefining concepts in cancer. He also serves as the Chair of the Data Safety Monitoring Committee at the Stanford Cancer Institute, overseeing the board that reviews all investigator-initiated cancer trials run at Stanford. -
Kim Bullock, MD
Clinical Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsDirector of Virtual Reality & Immersive Techology (VR-IT) Clinic and Lab.
Use of technology to understand the interaction of sensation, embodiment, and emotional/ behavioral regulation.
Virtual reality treatments as a sensory modulating device to treat disorders involving body image, sensation, and control. Exploration of the use of mirrored visual feedback while inhabiting a virtual avatar to treat pain and somatic symptom related disorders. -
Gabrielle Bunney
Clinical Assistant Professor, Emergency Medicine
BioGabrielle Bunney, MD, MBA, MS is a Clinical Assistant Professor in the department of Emergency Medicine at Stanford University. She has a passion for using artificial intelligence (AI) models to support emergency medicine care delivery and efficiency. She has worked on projects spanning the whole life cycle in AI for clinical use, from model design and building, to model optimization, and finally the technical and clinical translation of AI for use in patient care. Her current research is focused on designing a model to select patients efficiently and equitably for an early electrocardiogram to detect myocardial infarction.
She received her Master’s degree from Stanford University’s Department of Biomedical Data Science, where she gained data science the technical experience to apply to her clinical knowledge. Additionally, she holds an MBA from the Kellogg School of Management with a focus in finance and is working with groups at Stanford that are bridging the gap between academic medicine and industry. She is a part of the Stanford Emergency Medicine Partnership Program (STEPP) aimed at building collaborations between the emergency department and companies focused on patient care solutions. The combination of a business background and research skills allow her to focus on the implementation of AI technologies into practice. She is continuing working on AI in healthcare with the philosophy that at the heart of innovation there must be a confluence of the strategic vision of the healthcare organization, economic viability, and practical operationalization.
