School of Medicine
Showing 51-57 of 57 Results
Susan Ziolkowski, MD
Clinical Assistant Professor, Medicine - Nephrology
BioDr. Ziolkowski is a board-certified nephrologist with a passion for caring for persons with chronic kidney disease. She is a clinical assistant professor in the Stanford Department of Medicine’s Division of Nephrology and has a special focus on treating patients with cancer and kidney disease. She is active both in research and teaching endeavors to further advance this field.
She provides patient care at the Stanford Health Care kidney clinics in Palo Alto and Emeryville. For each patient, she prepares a care plan that is comprehensive, compassionate, and personalized to individual needs. Her goal is to help every patient achieve the best possible health and quality of life.
Dr. Ziolkowski has co-authored articles on her research findings in the American Journal of Kidney Disease, Journal of Renal Nutrition, Peritoneal Dialysis International, and other journals. She has made presentations to her peers at meetings of the American Society of Nephrology, National Association for Research in Science Teaching, and other professional organizations.
She enjoys running, yoga, skiing and getting outdoors.
Professor of Medicine (Infectious Diseases) at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsDr. Zolopas research applies a variety of clinical epidemiologic methods in an effort to optimize antiretroviral therapy and understand the impact of drug resistance on response to ARV. Areas of focus include the clinical application of resistance testing in optimizing antiretroviral therapy, clinical cohorts, trials of antiretroviral therapies and population-based epidemiologic evaluation of HIV resistance and efficacy of ARV therapy. More recently studies focused on premature aging in HIV.
Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.
J. Bradley Zuchero
Assistant Professor of Neurosurgery
Current Research and Scholarly InterestsWe are primarily focused on understanding myelinating glia (oligodendrocytes and Schwann cells). How is myelin formed, dynamically remodeled to support learning, and why does regeneration of myelin fail in disease? We are also interested in understanding novel roles of myelin in the nervous system, beyond its textbook role as an electrical insulator. We combine in vivo and primary culture models with the generation of new cell biology tools to answer these questions.
Associate Professor of Medicine (General Medical Disciplines)
Current Research and Scholarly Interests- Health care delivery models for patients with complex medical, social and behavioral needs.
- Interventions that address social determinants of health
- Effective communication and relationship-building in the clinical context
- Patient-facing technology (e.g., video-based care, eHealth technology) to facilitate access to health care
Corinna Zygourakis, MD
Assistant Professor of Neurosurgery
Current Research and Scholarly InterestsMy goal is to translate research into real-world action and decision-making so that my work can impact patients and the institutions in which they receive care. With a research focus on healthcare cost and quality of care, I approach neurosurgery in a unique way—one that applies business operations, economics, and healthcare delivery principles to our field. I have pursued formal LEAN business training, and believe in the importance of working together with other departments and administrators, as well as physicians and surgeons on the hospital and national level, to effect change. During my residency, I developed and led a multi-departmental prospective study at UCSF called OR SCORE (OR Surgical Cost Reduction Project) that brought together surgeons from the neurosurgery, orthopedics and ENT departments with nurses and administrators. OR SCORE successfully reduced surgical supply costs by nearly one million dollars in its first year by providing >60 surgeons with price transparency scorecards. This work led to a first-author publication in JAMA Surgery, but more importantly, set the foundation for further quality improvement and cost reduction efforts across the UCSF hospital system.
A volunteer neurosurgical mission trip to Guadalajara, Mexico, where limited resources create an OR environment that is strikingly more frugal than the U.S., inspired me to lead another project aimed at quantifying and reducing operating room waste at UCSF. I have also conducted research looking at the safety and outcomes of overlapping surgery, as well as several projects to define the factors underlying variation in cost for neurosurgical care using UCSF’s hospital data and national databases like the National Inpatient Sample, Vizient (formerly known as University Health Consortium), and Medicare.
As a clinical fellow at Johns Hopkins, I continued and expanded these research efforts. I designed and implemented an Enhanced Recovery after Surgery (ERAS) protocol at the Johns Hopkins Bayview hospital. This protocol standardized care for our spine patients, emphasizing pre-operative rehabilitation, psychiatric and nutritional assessments, and smoking cessation, as well as intra- and post-operative multi-modal pain therapy, early mobilization, and standardized antibiotic and bowel regimens. I also collaborated with engineers in the Johns Hopkins Carnegie Center for Surgical Innovation to develop better algorithms for intra-operative CT imaging, and provided assistance with operations to a basic science study looking at the role of cerebrospinal fluid drainage and duraplasty in a porcine model of spinal cord injury.
At Stanford, I am building a research group focused on: (1) perfecting paradigms for delivery of high-end technology in spinal care, including robotics and navigation, (2) implementing cost and quality strategies in large healthcare systems, and (3) computational analysis of big-data to effect real-time risk stratification and decision making in spine surgery. I'm excited to collaborate with my peers across surgical and medical departments, as well as business and engineering colleagues.