My research group is currently focused on understanding brain function and inter-brain synchrony during naturalistic social interaction. We use ultra-portable near-infrared spectroscopy (NIRS) to address specific scientific questions with an emphasis on multi-modal assessment (e.g., behavioral, physiological, environmental setting, and eye-tracking in addition to functional NIRS). This overall scientific apprach is called "interaction neuroscience:.
From finger prick tests for blood glucose monitoring to industrial-scale drug screening in pharmaceutical companies, the ability to extract information from scarce volumes of samples quickly and cheaply is key to effective disease management and drug discovery. To this end, microfluidics offers major advantages over conventional liquid handling due to drastic reduction in reagent volume and the precise control of single cells, microtissues, and their microenvironments. The micro-nano-bio lab under the direction of Dr.
Postdoctoral Research Fellow – Cell biology & microfluidics, UCSF & Stanford
Dr. Michael Zeineh received a B.S. in Biology at Caltech in 1995 and obtained his M.D.-Ph.D. from UCLA in 2003. After internship also at UCLA, he went on to radiology residency and neuroradiology fellowship both at Stanford. He has been faculty in Stanford Neuroradiology since 2010. He spearheads many initiatives in advanced clinical imaging at Stanford, including clinical fMRI and DTI.
Utkan Demirci is a professor at Stanford University School of Medicine and serves as the interim division chief and co-director of the Canary Center for Cancer Early Detection in the Department of Radiology. His group focuses on developing innovative microfluidic biomedical technology platforms with broad applications to multiple diseases. Some of his inventions have already been translated into Food and Drug Administration-approved products serving patients. He has mentored and trained many successful scientists, entrepreneurs, and academicians.
Katherine Whittaker Ferrara is a Professor of Radiology and the Division Chief for the Molecular Imaging Program at Stanford. She is a member of the National Academy of Engineering and a fellow of the IEEE, American Association for the Advancement of Science, the Biomedical Engineering Society, the World Molecular Imaging Society, the Acoustical Society of America and the American Institute of Medical and Biological Engineering. Dr. Ferrara received her Ph.D. in 1989 from the University of California, Davis. Prior to her PhD, Dr.
The practice of Radiology is undergoing a radical transformation from one in which the primary result of an imaging examination is a written report addressing the reasons that the examination was ordered, to one in which the output is a (set of) quantitative measurement(s) with links to knowledge that could affect treatment. For example, while a traditional report might have said “there is a mass in the right upper lobe of the lung,” the report of the future might say “The mass in the right upper lobe of the lung has grown by 25% since the last examination 3 months ago; it now measures 60
The research interests of the molecular imaging instrumentation lab are to create novel instrumentation and software algorithms for in vivo imaging of molecular signatures of disease in humans and small laboratory animals. These new cameras efficiently image radiation emissions in the form of positrons, annihilation photons, gamma rays, and/or light emitted from molecular contrast agents that were introduced into the body and distributed in the subject tissues.
My research focuses on advanced MRI and PET/MRI techniques and their application to alleviate neurological disease. I lead an inter-disciplinary team of physicians, graduate and post-doctoral students, and research associates with technical expertise in all the required realms to perform successful advanced imaging studies. As an active clinical neuroradiologist, I have a strong track record of integrating advanced imaging methods to clinical patients and have published extensively on its value in a wide range of diseases. During the past several years, I have become convinced that AI ge