Bioengineering
Showing 51-60 of 102 Results
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Siddharth Krishnan
Assistant Professor of Electrical Engineering, and by courtesy, of Bioengineering and of Materials Science and Engineering
Current Research and Scholarly InterestsThe Krishnan Lab develops bioelectronic devices, tools and systems for closed loop disease management. Our work is divided into the following broad areas:
1. Biohybrid electronics for therapy and sensing: we combine living cells as functional parts of implantable devices, leveraging their ability to produce complex biologic therapeutics in a constitutive or triggerable manner, and their ability to sense their complex dynamic environment. These efforts are focused on developed functional cures for diseases like Type I Diabetes and other conditions requiring the regular infusion of proteins, peptides or antibody drugs.
2. Digital drug release systems for particulate forms of biologic drugs: Many complex protein and peptide drugs are not stable in solution, thereby frustrating the ability to delivery them through pumps and autoinjectors. This need is particularly acute for drugs that need to be administered as emergency rescue therapies, such as glucagon in the context of type 1 Diabetes. We develop implantable, miniaturized microelectromechanical devices that can store particulate (powders, pills) forms of these drugs and release them in a close loop manner based on wireless inputs from sensors.
3. Wearable sensors: Wearables to detect biophysical (temperature, flow, cardiac activity) and biochemical markers of health are gaining importance for closed-loop disease management and personalized medicine. We design hardware for on-chip molecular profiling based on sampling biofluids in noninvasive or minimally invasive formats.
4. New wireless power architectures for implantable bioelectronics: We develop high-power, high-efficiency strongly coupled power harvesting system to power battery-free implant systems. -
Ellen Kuhl
Catherine Holman Johnson Director of Stanford Bio-X, Walter B Reinhold Professor in the School of Engineering, Professor of Mechanical Engineering and, by courtesy, of Bioengineering
Current Research and Scholarly Interestscomputaitonal simulation of brain development, cortical folding, computational simulation of cardiac disease, heart failure, left ventricular remodeling, electrophysiology, excitation-contraction coupling, computer-guided surgical planning, patient-specific simulation
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Jin Hyung Lee
Associate Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery and of Bioengineering and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsIn vivo visualization and control of neural circuits
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Craig Levin
Professor of Radiology (Molecular Imaging Program at Stanford/Nuclear Medicine) and, by courtesy, of Physics, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsMolecular Imaging Instrumentation
Laboratory
Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects. -
Michael Lin
Professor of Neurobiology, of Bioengineering and, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsOur lab applies biochemical and engineering principles to the development of protein-based tools for investigating biology in living animals. Topics of investigation include fluorescent protein-based voltage indicators, synthetic light-controllable proteins, bioluminescent reporters, and applications to studying animal models of disease.
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Jonathan T.C. Liu, PhD
Professor of Pathology and Professor, by courtesy, of Bioengineering
Current Research and Scholarly InterestsBiomedical optics
In vivo microscopy
Slide-free pathology
Three-dimensional microscopy
3D pathology
Optical biopsy
Image-guided surgery
Early detection
Artificial intelligence
Machine learning
Deep learning
Computational analysis
Computational pathology
Virtual staining
Molecular imaging
