Dr. Ruijiang Li's lab is focused on the development and application of novel machine learning and deep learning approaches for medical imaging analysis and precision oncology. This can lead to discovery of imaging-based biomarkers for several clinical applications including cancer detection and diagnosis, treatment response and prognosis prediction, which have the potential to transform cancer care.
Home Department: Chemistry
Faculty Advisor: Hongjie Dai
Talk Title: Wireless charging-mediated angiogenesis and nerve repair by adaptable microporous hydrogels from conductive building blocks
Event: 2022 Joint Symposium of the Society For Biomaterials (SFB) and the Japanese Society for Biomaterials (JSB) - Rusiou was awarded the Emerging Scholar Award of Society for Biomaterials 2022.
Supported by The Matthew Frank Family
Russ Biagio Altman is the Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and (by courtesy) Computer Science) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing (AI, data science and informatics) to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels.
Awarded in 2008
Home Department: Chemical and Systems Biology
In a competitive, international search process the Bio-X Senior Fellow Program Committee, chaired by Dr. Alfred Spormann, identified Russell Monds as the first “Senior Bio-X fellow”.
Dr. Ruth Huttenhain's group deciphers how G protein-coupled receptors decode extracellular cues into dynamic and context-specific cellular signaling networks to elicit diverse physiologic responses. They exploit quantitative proteomics to capture the spatiotemporal organization of signaling networks combined with functional genomics to study their impact on physiology.
