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for developing advanced monitoring solutions, creating in silico computer models for mimicking human physiology in trauma, and automating ultrasound image interpretation through deep learning model development
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parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential to improve the effectiveness
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because of the large parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential
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for health diagnostics and continuous monitoring. Current areas of interest for the project are recognition element integration, microfluidics, circuit design and computer interfacing. This project targets
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research findings Learn and develop biology and wet chemistry skills Participant in experiments and processes such as bacterial cultivation and enumeration, dilution/standards preparation, and analyzing