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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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comprises four faculty (Profs. Chang, Konigsberg, Korytov, and Takahashi), five postdocs, five graduate students, and a group of engineers and technical personnel — making us one of the largest U.S
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engineering support. Ongoing projects in lab include structural and functional magnetic resonance imaging (MRI) of developing children, and clinical conditions including autism, traumatic brain injury, diabetes
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that facilitate basic research and drug development. The unique infrastructure includes the application of unique chemical, genomic, proteomic, informatics, and high-throughput screening and engineering tools