School of Medicine
Showing 41-50 of 65 Results
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Grace Xiong, MD
Assistant Professor of Orthopaedic Surgery
BioDr. Xiong is a fellowship-trained orthopaedic surgeon at Stanford Health Care Orthopaedic Spine Center. She is also an Assistant Professor in the Department of Orthopaedic Surgery at Stanford University School of Medicine.
Dr. Xiong specializes in spine surgery. She treats conditions including disorders of the cervical, thoracic, and lumbar spine. These include spinal stenosis, myelopathy, herniated discs, spinal trauma, spinal tumors, and revision spine surgery. She aims to work with patients to understand their lifestyle and concerns and then offer a personalized treatment plan. Dr. Xiong specializes in both traditional open and minimally invasive approaches to help restore patient quality of life and mobility.
Dr. Xiong completed medical school at Stanford School of Medicine, her residency training at the Harvard Combined Orthopaedic Residency Program in Boston, MA, and spine surgery fellowship training at the Rothman Orthopaedic Institute in Philadelphia, PA.
Dr. Xiong’s research interests include reducing disparities in access to spinal care and investigating healthcare delivery to promote health equity. She also studies infection prevention in patients who have undergone spinal surgery and the treatment of patients who develop spontaneous spinal infections.
Dr. Xiong has published in many peer-reviewed journals, including The Spine Journal, Spine, The American Journal of Sports Medicine, and Clinical Orthopaedics and Related Research. She has written several book chapters on orthopaedic subjects and has presented research at conferences and meetings around the country, as well as in Canada and China.
Dr. Xiong is a member of the American Academy of Orthopaedic Surgeons, American Orthopaedic Association, and the North American Spine Society. -
熊剑 (Jian Xiong)
Postdoctoral Scholar, Chemical Engineering
BioI thrive to understand the roles of lysosomes in physiological and pathological conditions. Lysosomes are both degradation compartment and metabolic controlling hub, and dysregulation of lysosomal functions are frequently implicated in a vast number of diseases including neurodegenerative diseases, however, the systematic knowledge of the molecular mechanism by which lysosomal contributes to these diseases is lacking. Ion channels are the primary mediators of neuronal activity, defects in neuronal ion channel activity are linked with many kinds of neurodegenerative diseases. Interestingly, besides typical ion channels that are involved in the neuronal activity, defects in lysosomal ion channels, such as TRPML1, CLN7 and CLC-7 are also implicated in neuropathy. My previous work as Ph.D student in University of Texas MD Anderson Cancer Center focused on regulation of lysosomal function by ion channels and metabolites. I discovered a mechanism of lysosomal Na+ channel regulate mTORC1 activation by regulating lysosomal amino acid accumulation. I also discovered role of glutamine in controlling lysosomal degradation capacity. In the meantime, I developed novel methods to isolate organelles. My ultimate research goal is to understand the key developmental pathways and how alterations in gene sequences and expression contribute to human disease, therefore, I am pursuing independent academic researcher as my career goal. Starting Feb 2022, I work with Dr. Monther Abu-Remaileh at Stanford University on role of lysosomes in neurodegenerative diseases. I use genetics, chemical biology and omics approaches to study lysosome function under various physiological and pathological conditions, especially age-associated neurodegenerative disorders, and monogenic neurodegenerative lysosome storage diseases. In Stanford, I aim to integrate ionic regulation, metabolomic regulation and functional proteomic regulation to systematically understand the biology of lysosome in physiological conditions and pathological conditions.
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Lei Xiong
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on develop deep learning methods to
1. Infer macrophage-tumor cells interaction using spatial multi-omics
2. Decipher the cis-regulatory code using a large language models
3. Predict enhancer-promoter interaction
4. Multi-omics integration
5. Build foundational model for single-cell genomics
