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The Weiss Lab, which features a multi-disciplinary team at Johns Hopkins as well as at Cedars Sinai Medical Center in Los Angeles, is dedicated to identifying the most important clinical, genetic, structural, contractile and metabolic causes of sudden cardiac death as well as the means to reverse the underlying pathology and lower risk.
Current projects include research into energy metabolism in human heart failure and creatine kinase metabolism in animal models of heart failure.
Robert G. Weiss, MD, is professor of medicine, Radiology and Radiological Science, at the Johns Hopkins University.
Wojciech Zbijewski Lab
Research in the Wojciech Zbijewski Lab — a component of the Imaging for Surgery, Therapy and Radiology (I-STAR) Lab — focuses on system modeling techniques to optimize the x-ray CT imaging chain. We’re specifically interested in: 1) using numerical models to improve the task-based optimization of image quality; 2) exploring advanced modeling of physics in statistical reconstruction; 3) using accelerated Monte Carlo methods in CT imaging; and 4) conducting experimental validation of such approaches and applying them to the development of new imaging methods.
Dr. Wu leads a multi-disciplinary team with collaborators from the Bloomberg School of Public Health, JHU Whiting School of Engineering, and JHU Krieger School of Arts and Sciences. She conducts ongoing investigations with the Multicenter AIDS Cohort Study and Women’s Inter-agency Health Study. Her lab’s goals are to develop, implement, and validate novel imaging-based metrics of cardiac structure and function to improve risk prediction and stratification at the individual patient-level.
Predictors of Sudden Cardiac Death by Magnetic Resonance Imaging
Subclinical myocardial disease in people living with HIV
Individualized risk prediction
Cardiac structural and mechanical modeling
The Zanvyl Krieger Mind/Brain Institute is dedicated to the study of the neural mechanisms of higher brain functions using modern neurophysiological, anatomical and computational techniques. Our researchers use various approaches to understand information processing and its influence on perception, memory, abstract thought, complex behavior and consciousness. Systems and cognitive laboratories use neurophysiology, brain imaging and psychophysics to develop a quantitative, network-level understanding of cognitive information processing. Other researchers use analytical approaches such as system identification, dimensionality reduction, information theory and network modeling to understand information processing. Other areas of research in the Institute include the study of how visual and tactile information processing leads to perception and understanding of two- and three-dimensional objects. Another focus is on neural processing and recognition of speech and other complex sounds. St...ill other laboratories study neural mechanisms of attention, memory formation, motor learning, decision-making and executive control of behavior. view more
Dr. Bhujwalla’s lab promotes preclinical and clinical multimodal imaging applications to understand and effectively treat cancer. The lab’s work is dedicated to the applications of molecular imaging to understand cancer and the tumor environment. Significant research contributions include 1) developing ‘theranostic agents’ for image-guided targeting of cancer, including effective delivery of siRNA in combination with a prodrug enzyme 2) understanding the role of inflammation and cyclooxygenase-2 (COX-2) in cancer using molecular and functional imaging 3) developing noninvasive imaging techniques to detect COX-2 expressing in tumors 4) understanding the role of hypoxia and choline pathways to reduce the stem-like breast cancer cell burden in tumors 5) using molecular and functional imaging to understand the role of the tumor microenvironment including the extracellular matrix, hypoxia, vascularization, and choline phospholipid metabolism in prostate and breast cancer invasion and metast...asis, with the ultimate goal of preventing cancer metastasis and 6) molecular and functional imaging characterization of cancer-induced cachexia to understand the cachexia-cascade and identify novel targets in the treatment of this condition. view less