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Displaying 1 to 3 of 3 results for mathematics

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  • Ashikaga Lab

    We specialize in unconventional, multi-disciplinary approaches to studying the heart at the intersection of applied mathematics, physics and computer science. We focus on theory development that leads to new technology and value delivery to the society. Currently we have three research programs:

    1. Precision Medicine
    To develop a quantitative approach to personalized risk assessment for stroke and dementia based on patent-specific heart anatomy, function and blood flow.
    Disciplines: Cardiac Hemodynamics; Medical Imaging Physics; Continuum Mechanics; Computational Fluid Dynamics

    2. Information Theory
    To quantify and perturb cardiac fibrillation that emerges as a macro-scale behavior of the heart from micro-scale behaviors of inter-dependent components.
    Disciplines: Cardiac Electrophysiology; Spiral Wave; Information Theory; Complex Networks

    3. Artificial Intelligence
    To develop artificial intelligence algorithms to predict the future risk of heart attack, stroke and sudden... death, and to assist surgical interventions to prevent these outcomes.
    Disciplines: Medical Imaging Physics; Artificial Intelligence; Robotically Assisted Interventions
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    Research Areas: complex systems, Computational Fluid Dynamics, spiral wave, artificial intelligence, informational theory

  • Fernando Pineda Lab

    The Fernando Pineda Lab uses advanced computational and mathematical techniques to devise solutions to problems in modern biology and public health. We develop analysis algorithms, software tools and models that help biologists characterize biological systems. For example, we have studied the life cycle of the Plasmodium falciparum parasite, which is responsible for more than 1 million malaria deaths per year, with the goal of treating and preventing the disease. We are developing an ab initio computational strategy for finding rapidly evolving ncRNA genes in the parasite.

    Research Areas: infectious disease, computational biology, mathematics, public health, malaria, bioinformatics, biology

    Principal Investigator

    Fernando Pineda, Ph.D.

    Department

    Health Sciences Informatics

  • Laboratory for Computational Motor Control

    The Laboratory for computational Motor Control studies movement control in humans, including healthy people and people with neurological diseases. We use robotics, brain stimulation and neuroimaging to study brain function. Our long-term goals are to use mathematics to understand: 1) the basic function of the motor structures of the brain including the cerebellum, the basal ganglia and the motor cortex; and 2) the relationship between how our brain controls our movements and how it controls our decisions.

    Research Areas: robotics, brain, movement, mathematics, neuroscience, decision making

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