School of Medicine
Showing 12,441-12,460 of 12,878 Results
-
Samuel Yang, MD, FACEP
Professor of Emergency Medicine (Adult Clinical/Academic)
Current Research and Scholarly InterestsDr. Yang's research is focused on bridging the translational gap at the interface of molecular biology, biochemistry, genome science, engineering, and acute care medicine. The investigative interest of the Yang lab falls within the general theme of developing integrative systems-level approaches for precision diagnostics, as well as data driven knowledge discoveries, to improve the health outcome and our understanding of complex critical illnesses. Using acute infectious disease models with complex host-pathogen dynamics, the goals of the Yang lab are divided into 3 areas:
1) Developing high-content, near-patient, diagnostic systems for rapid, unbiased pathogen detection and characterization to personalize treatment options and duration.
2) Integrating multi-omics molecular and phenotypic data layers with novel computational approaches into advanced diagnostics and predictive analytics for acute infections.
3) Understanding the biological roles of the noncanonical structures of extracellular nucleic acids in the contexts of neutrophil extracellular traps and biofilms. -
Xiao Yang
Postdoctoral Scholar, Psychiatry
BioXiao Yang is a Wu Tsai Neurosciences Institute Interdisciplinary Postdoctoral Scholar at Stanford University, working jointly in the laboratories of Professor Sergiu P. Pașca (Psychiatry and Behavioral Sciences) and Professor Bianxiao Cui (Chemistry). She received her Ph.D. in Chemistry from Harvard University under the guidance of Professor Charles M. Lieber in 2020, and her B.S. in Chemistry from the College of Chemistry and Molecular Engineering at Peking University in 2015.
Dr. Yang will join the Department of Biomedical Engineering at Johns Hopkins University as an Assistant Professor in June 2025.
Dr. Yang drew inspiration from biological systems and art forms to design and develop a series of bio-inspired and art-inspired bioelectronics. Her studies encompass neural probes for in vivo brain-machine interface, electronic scaffolds for brain repair, and platforms for detecting human genetic diseases and tracking human neural development using human brain organoids.
Bioelectronic devices are important as fundamental research tools for probing and understanding the brain with high spatiotemporal resolution, and as potential therapeutic avenues for treating brain diseases, disorders, and injuries. However, they face key challenges, such as achieving biomimicry at the molecular level, expanded multifunctionality at the microscale, and versatile programmability at the macroscale. The Yang Lab will address these challenges by integrating bioelectronics, bioengineering, chemistry, materials science, and neuroscience. We aim to develop novel bioelectronics and biomaterials for brain-machine interfaces, regenerative medicine, and the study of human neural development and diseases. -
Yanmin Yang
Associate Professor of Neurology and Neurological Sciences (Neurology Research Faculty)
Current Research and Scholarly InterestsElucidate biological functions of cytoskeletal associated proteins in neurons. Define the cellular and molecular mechanisms underlying neurodegeneration in null mice.
-
Yunzhi Peter Yang
Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering
Current Research and Scholarly InterestsYang lab's research interests are in the areas of bio-inspired biomaterials, medical devices, and 3D printing approaches for re-creating a suitable microenvironment for cell growth and tissue regeneration for musculoskeletal disease diagnosis and treatment, including multiple tissue healing such as rotator cuff injury, orthopedic diseases such as osteoporosis and osteonecrosis, and orthopedic traumas such as massive bone and muscle injuries.
-
Zijian Yang
Postdoctoral Scholar, Radiology
BioI have long term interest in combining advanced science and technology to provide next generation healthcare system.
To reach that goal, I have developed machine learning based diagnosis model on the software end, which is combined with my hardware end work including wearable/flexible electronics and microelectronic/microfludic platforms.