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  • William Bishai Laboratory

    The William Bishai Laboratory studies the molecular pathogenesis of tuberculosis. The overall goal of our laboratory is to better understand tuberculosis pathogenesis and then to employ this understanding toward improved drugs, vaccines and diagnostics. Since Mycobacterium tuberculosis senses and adapts to a wide array of conditions during the disease process, it is clear that the regulation of expression of virulence factors plays an important role in pathogenesis. As a result, a theme of our research is to assess mycobacterial genes important in gene regulation. We are also interested in cell division in mycobacteria and the pathogenesis of caseation and cavitation.
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    Principal Investigator

    William Ramses Bishai, MD PhD

    Department

    Medicine

  • Natasha Chida Lab

    The Natasha Chida Lab investigates methods for using education and curriculum development to improve patient outcomes worldwide, primarily by optimizing education of physicians-in-training. Most recently, our team has worked to develop and evaluate an assessment tool for evaluating internal medicine residents’ understanding of tuberculosis diagnostics. Previous research includes a retrospective cohort study on the high proportion of extrapulmonary TB in a low-prevalence setting as well as an analysis of ways to define clinical excellence in adult infectious disease practice.

    Principal Investigator

    Natasha Chida, MD MSPH

    Department

    Medicine

  • NeuroTech & NeuroAI Engineering Laboratory

    Our laboratory pioneers innovations at the intersection of precision neurology, neuroengineering, artificial intelligence, and data science. We develop advanced neural-AI interfaces, autonomous wearable neurotechnologies, and immersive augmented and virtual reality platforms incorporating novel multimodal neuron-sensing technologies designed to personalize diagnostics, enhance therapeutic interventions, and optimize neurological rehabilitation. Leveraging computational neuroscience, AI, and applied data science, we generate robust digital biomarkers to monitor and treat neurologic diseases in real-time. Through interdisciplinary collaborations, we aim to transform clinical practice by providing precise, interactive, and personalized neurologic care that dramatically improves patient outcomes.