School of Medicine
Showing 941-960 of 5,029 Results
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Xianjin Dai, PhD, DABR
Assistant Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsIntelligent Image-guided intervention
AI in Medicine
Medical Image Analysis
Biomedical Physics
Multimodal Imaging
Ultrasound Imaging
Medical Device
Biomedical Optics (Optical, Photoacoustic, OCT) -
Michael D. Dake
Thelma and Henry Doelger Professor of Cardiovascular Surgery, Emeritus
Current Research and Scholarly InterestsImproved endovascular procedures and devices to treat aortic lesions, peripheral arterial disease and venous abnormalities. Focused interest in drug-eluting stents and balloons, endovascular stent-grafts, including branched aortic devices and techniques for the endovascular management of aortic dissection. Current clinical research projects include drug-eluting stents for superficial femoral arterial disease and multiple device trials to evaluate stent-grafts for the treatment of aortic lesions.
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Heike Daldrup-Link
Professor of Radiology (General Radiology) and, by courtesy, of Pediatrics (Hematology/Oncology)
Current Research and Scholarly InterestsAs a physician-scientist involved in the care of pediatric patients and developing novel pediatric molecular imaging technologies, my goal is to link the fields of nanotechnology and medical imaging towards more efficient diagnoses and image-guided therapies. Our research team develops novel imaging techniques for improved cancer diagnosis, for image-guided-drug delivery and for in vivo monitoring of cell therapies in children and young adults.
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Ronald L. Dalman MD
Dr. Walter C. Chidester Professor
Current Research and Scholarly InterestsVascular biology, arterial remodeling, aneurysm development; innovative treatment strategies for AAA, animal models of arterial disease, arterial remodeling and flow changes in spinal cord injury, genetic regulation of arterial aneurysm formation
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Edward J. Damrose, MD, FACS
Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Anesthesiology, Perioperative & Pain Medicine (MSD)
Current Research and Scholarly InterestsAdvanced MRI imaging for laryngeal cancer and swallowing disorders; applications of robotics in microlaryngeal surgery; high speed digital imaging of vocal fold vibration; the effects of hormones and anabolic steroids on vocal function.
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Francesco Nandkumar Dandekar
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioDr. Dandekar is a Clinical Associate Professor and Associate Director of Sports Psychiatry at Stanford University. After graduating summa cum laude from the University of Southern California with a B.S. in Biomedical Engineering, he earned a Regents Scholarship to complete his M.D. at UC San Diego, where he received the American Academy of Neurology’s Prize for Excellence. During his residency and fellowship at Stanford, Dr. Dandekar provided care to a variety of patients utilizing a combination of medication management, psychotherapy, and lifestyle changes (sleep, nutrition, exercise, recovery). Teamed with Clinical Professor Dr. Douglas Noordsy, he helped to incorporate psychiatric services into Stanford's sports psychology program, and continues to see elite athletes as part of the Stanford Sports Psychiatry Clinic. He also specializes in treating physicians, and sees many residents, fellows, and attendings in his private practice. In his free time, he enjoys playing tennis, chess, and guitar.
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Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and of Dermatology and, by courtesy, of Radiology
BioDr. Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou. She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI) and the AI in Medicine and Imaging (AIMI) centers.
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Rebecca Dang
Instructor, Pediatrics
BioDr. Rebecca Dang is an Instructor in the Division of General Pediatrics at Stanford University. She earned her medical degree at Georgetown School of Medicine and completed her pediatric residency at Kaiser Permanente Northern California. She also completed pediatric hospital medicine fellowship and a master’s program in clinical research and epidemiology at Stanford University. Dr. Dang provides clinical care for children on the pediatric ward and newborn nursery.
Dr. Dang’s research interest focuses on high-value pediatric care, which she hopes to improve through building evidence for common, understudied practices. Common practices that are ubiquitous throughout pediatric medicine are temperature measurement and management. Despite temperature measurement and the subsequent detection of ‘normal’ or ‘abnormal’ values driving clinical decision making, these temperature thresholds may be outdated or poorly defined. Dr. Dang has led many projects on temperature-related topics, including routine temperature measurement at well-child visits, pediatric temperature percentiles, risk factors for and outcomes of neonatal hypothermia in the newborn nursery, and newborn temperature norms. This work has led to first-author publications in the high-impact journals of Academic Pediatrics, Pediatrics, Journal of Pediatrics, JAMA Network Open, and Hospital Pediatrics. She has secured continual institutional and foundation funding, including a Maternal & Child Health Research Institute clinical trainee award and master’s tuition program, Gerber Foundation main and novice research award, the Department of Pediatrics’ Bridge-to-K Program, and the PEDSnet Scholars Program. -
Linh T Dang
Adjunct Clinical Instructor, Educational Programs and Services (EPS)
BioDr. Linh Dang enjoys practicing full-spectrum primary care. She has a special interest in pediatric and women's health with a particular focus on preventative care.
As a Bay Area native growing up in East San Jose, Dr. Dang especially enjoys working with a diverse population and the most vulnerable and underserved of the community. -
Bruce Daniel
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.
2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics
3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions. -
Kay Daniels
Clinical Professor, Obstetrics & Gynecology - Maternal Fetal Medicine
Current Research and Scholarly InterestsSpecial interest in :
1.Ob simulation as a teaching and training tool
2. Disaster planning for OB units
3. Global women's health -
Kyle Gabriel Daniels
Assistant Professor of Genetics and, by courtesy, of Neurosurgery (Adult Neurosurgery)
BioKyle obtained his BS in Biochemistry from the University of Maryland College Park in 2010, conducting undergraduate research with Dr. Dorothy Beckett, PhD. He obtained his PhD in Biochemistry with a certificate in Structural Biology and Biophysics. His dissertation is titled "Kinetics of Coupled Binding and Conformational Change in Proteins and RNA" and was completed in the laboratory of Dr. Terrence G. Oas, PhD. Kyle performed postdoctoral training with Dr. Wendell A. Lim, PhD at UCSF studying how CAR T cell phenotype is encoded by modular signaling motifs within chimeric antigen receptors.
Kyle's lab is interested in harnessing the principles of modularity to engineer receptors and gene circuits to control cell functions.
The lab will use synthetic biology, medium- and high-throughput screens, and machine learning to: (1) Engineer immune cells to achieve robust and durable responses against various cancer targets, (2) Coordinate behavior of multiple engineered cell types in cancer, autoimmune disease, and payload delivery, (3) Control survival, proliferation, and differentiation of hematopoietic stem cells (HSCs) and immune cells, and (4) Explore principles of modularity related to engineering receptors and gene circuits in mammalian cells.
