School of Medicine
Showing 3,101-3,120 of 12,884 Results
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Titilola Falasinnu
Assistant Professor of Medicine (Immunology and Rheumatology) and, by courtesy, of Anesthesiology, Perioperative and Pain Medicine (Adult Pain)
BioI am primarily a lupus researcher and identify as a pain scientist and methodologist in this field. Systemic lupus erythematosus (SLE) disproportionately affects women and racial minorities and is the fifth most common cause of death among 15- to 24-year-old Black and Hispanic women in the U.S., highlighting its significant public health impact. More than half of patients with SLE experience chronic pain, often secondary to SLE itself or overlapping conditions (e.g., migraines, low back pain, fibromyalgia), contributing significantly to disability and impaired quality of life. Chronic pain is not merely a symptom but a disease in its own right—one that deserves the same rigorous study and clinical attention as comorbidities like kidney disease and cardiovascular disease in rheumatology. The enormous global burden of chronic pain underscores the urgent need for a clear, standardized definition of pain as a disease, particularly in autoimmune rheumatic diseases where pain can arise from inflammatory, nociplastic, and biopsychosocial mechanisms. Without recognizing pain as a distinct disease entity, its mechanisms remain poorly understood, and effective treatment strategies remain underdeveloped.
I am a co-Principal Investigator of the Pain Intelligence Lab, where our mission is to advance the study of pain as a disease in rheumatology through two primary objectives. First, we develop and validate computational methods that enable clinicians and researchers to leverage electronic health records, administrative claims, and disease registries to study chronic pain as a distinct disease entity in rheumatology. By applying machine learning, natural language processing, and real-world data analysis, we seek to enhance pain phenotyping, classify distinct pain subtypes, and develop predictive models for treatment response. Second, we use a biopsychosocial framework to examine the predictive power of biomarkers and psychosocial measures in rheumatologic pain. By integrating biological, psychological, and social determinants of pain, we aim to conduct rigorous, patient-oriented research that translates targeted assessments into mechanistically informed, personalized treatment approaches for optimized clinical care. Ultimately, my long term career goal is to bridge the gap between research and clinical practice, ensuring that pain management in autoimmune rheumatic diseases is precise, equitable, and optimized for improved patient outcomes. -
Ryann Fame, PhD
Assistant Professor of Neurosurgery
Current Research and Scholarly InterestsEarly neural progenitors respond to extrinsic cues that maintain and support their potency. These stem/ progenitor cells are in direct contact with the cerebrospinal fluid (CSF), which acts as part of their niche. Our research program encompasses the early neural stem cell niche, neural tube closure, CSF, metabolism, and cortical neuronal development. We are dedicated to broad collaboration focused on translating an understanding of neurodevelopment and CSF biology into regenerative strategies.
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Alice C. Fan
Associate Professor of Medicine (Oncology) and, by courtesy, of Urology
Current Research and Scholarly InterestsDr. Fan is a physician scientist who studies how turning off oncogenes (cancer genes) can cause tumor regression in preclinical and clinical translational studies. Based on her findings, she has initiated clinical trials studying how targeted therapies affect cancer signals in kidney cancer and low grade lymphoma. In the laboratory, she uses new nanotechnology strategies for tumor diagnosis and treatment to define biomarkers for personalized therapy.
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Richard E. Fan
Clinical Associate Professor, Urology
BioRichard E. Fan, Ph.D., is an engineer embedded in the Department of Urology in the Stanford School of Medicine.
Dr. Fan’s research relates to the development of clinically driven biomedical instrumentation and medical devices. He is interested in translational application of emerging technologies in the medical and surgical spaces, as well as the development of platforms to explore clinical and pre-clinical evaluation. His primary work is currently focused on image guided detection and treatment of prostate cancer, including MR-US fusion, focal therapies, embedded systems and robotics. -
Daniel Z Fang
Affiliate, Med/Hospital Medicine
BioDaniel Z Fang, MD, FACP completed his medical school training at UC San Diego School of Medicine and residency at Stanford University. He is a board-certified academic hospitalist at the VA Palo Alto Health Care System and Clinical Associate Professor (Affiliated) within the Stanford Division of Hospital Medicine.
As Assistant DCOS for Acute Care Hospital Operations, he provides administrative and clinical guidance to clinical service staff in the areas of inpatient performance, patient flow optimization, policy review, project planning, and process improvement initiatives. His professional interests include healthcare administration and quality improvement. -
Rongxin Fang
Assistant Professor of Neurosurgery and, by courtesy, of Genetics
BioRongxin Fang received his Ph.D. in Bioinformatics and Systems Biology from the University of California, San Diego, under the mentorship of Bing Ren (2015–2019). During his doctoral training, he developed high-throughput genomic technologies and computational tools to map the structure and activity of the mammalian genome at large scale and single-cell resolution. He then applied these approaches to investigate how cis-regulatory elements - such as enhancers - control gene expression and drive the diverse transcriptional programs underlying cellular diversity in the mammalian brain. As an HHMI–Damon Runyon Postdoctoral Fellow at Harvard University (2019–2024), he worked with Xiaowei Zhuang. Rongxin developed and applied genome-scale, volumetric 3D transcriptome imaging methods to map the molecular and cellular architecture of the mammalian brain across evolution and aging. He also contributed to the collaboration with Adam Cohen and Catherine Dulac to integrate transcriptome imaging with functional neuronal imaging, identifying neuronal populations in the animal brain that underlie specific brain functions.
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Zhongnan Fang
Affiliate, Rad/Pediatric Radiology
BioDr. Fang is a Principal ML Scientist in the AIDE Lab. His research interests lie in driving AI innovations in medicine, with a focus on AI model design and development, performance and robustness evaluation, and quality monitoring and debugging. Previously, he was a founding member and the Data Science Lead at LVIS corporation, pioneering personalized neurological disease treatment using cutting-edge neuroscience findings and AI technologies.
