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个人简介
Dr. Kuwabara’s primary research areas are as follows.
Research on normal aging and dementia: The immediate goal is to identify the most appropriate radiotracer for imaging of tau tangles by directly comparing RO-948 (from us) to MK-6240 (R21 AG062314; in 12 percentile), and to AV1451, current leading tracer with ‘off-target’ binding (application in preparation). In parallel, I intend to develop a robust approach for detection of initial accumulation of tau tangles in aging and dementia including Alzheimer’s disease.
Continued development of the integrative data analysis environment (IDAE) for PET. With IDAE, users can prepare / manage analysis packages, perform analyses, and summarize results in a project-wide manner, all by mere clicks of graphical user-interface (GUIs) alone with a few exceptions. Owing to these features, I found that I could analyze several holds more projects now than the pre-IDAE era. IDAE is being used by collaborators nationally (University of Pennsylvania, University of New Mexico, and University of Pittsburg), and internationally (University of Leipzig). I intend to publish IDAE in scientific journals, and as freeware, and gain grant support from external sources.
Continued development of data analysis tools: Currently, region-based PET analyses suffer from insufficiencies of automated region segmentation approaches, and voxel-wise analyses suffer from insufficiencies of spatial normalization techniques (i.e., to transform subjects’ brains similar to each other). I intend to continue improving approaches for correcting insufficiencies of region segmentation fast and accurately, and evaluating existing and new approaches, among other region-related developments (such as subdivisions of focused regions). In these areas of research, I will focus on publishing results in scientific journals, and gain external grant support.
Research on normal aging and dementia: The immediate goal is to identify the most appropriate radiotracer for imaging of tau tangles by directly comparing RO-948 (from us) to MK-6240 (R21 AG062314; in 12 percentile), and to AV1451, current leading tracer with ‘off-target’ binding (application in preparation). In parallel, I intend to develop a robust approach for detection of initial accumulation of tau tangles in aging and dementia including Alzheimer’s disease.
Continued development of the integrative data analysis environment (IDAE) for PET. With IDAE, users can prepare / manage analysis packages, perform analyses, and summarize results in a project-wide manner, all by mere clicks of graphical user-interface (GUIs) alone with a few exceptions. Owing to these features, I found that I could analyze several holds more projects now than the pre-IDAE era. IDAE is being used by collaborators nationally (University of Pennsylvania, University of New Mexico, and University of Pittsburg), and internationally (University of Leipzig). I intend to publish IDAE in scientific journals, and as freeware, and gain grant support from external sources.
Continued development of data analysis tools: Currently, region-based PET analyses suffer from insufficiencies of automated region segmentation approaches, and voxel-wise analyses suffer from insufficiencies of spatial normalization techniques (i.e., to transform subjects’ brains similar to each other). I intend to continue improving approaches for correcting insufficiencies of region segmentation fast and accurately, and evaluating existing and new approaches, among other region-related developments (such as subdivisions of focused regions). In these areas of research, I will focus on publishing results in scientific journals, and gain external grant support.
研究兴趣
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NEUROPSYCHOPHARMACOLOGY (2023): 378-378
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Nutrientsno. 12 (2023): 2671-2671
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NeuroImage. Clinical (2023): 103322-103322
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