DYDarren L. Yang

Darren L. Yang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Darren L. Yang has a total of 18 co-authors. Here are the top co-authors by number of shared publications:

  • Amit K. Banerjee

    Applied Physics Lab, Johns Hopkins University, Baltimore, USA

    1 shared publication
  • Arvind P. Pathak

    Department of Biomedical Engineering The Johns Hopkins University Whiting School of Engineering Baltimore Maryland USA

    1 shared publication
  • David J. Linden

    The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, USA

    1 shared publication
  • Devorah VanNess

    The Solomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, USA

    1 shared publication
  • Irfaan Karim

    Neurology, The Johns Hopkins University School of Medicine, Baltimore, USA

    1 shared publication
  • Janaka Senarathna

    The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, USA

    1 shared publication

Latest Publications

  • Open Access

    A cloud-based miniscope for neurosurveillance of brain health and disease in freely behaving animals

    by Janaka Senarathna, Darren Yang, Julia Brill, Subhrajit Das, Shruthi Bare, Yunke Ren, Devorah VanNess, Vu Dinh, Irfaan Karim, Amit K. Banerjee, et al.

    Miniaturized microscopes or ‘miniscopes’ for neuroimaging in freely behaving animals mostly operate over short durations (24 h) imaging, remote operation and simultaneous characterization of multiple neurophysiological variables such as neuronal activity, blood flow, blood volume, oxygenation and cellular dynamics (a capability that we call ‘neurosurveillance’). Thus, we developed the ‘CloudScope’, a cloud-based multicontrast miniscope for autonomous neurosurveillance in freely behaving animals. Its cloud-based architecture enables global remote operation and continuous acquisition of multicontrast images over CNS disease model life cycles. We demonstrate CloudScope’s neurosurveillance capabilities in predicting behavior from 24-h neuroimaging data with deep learning (DL), characterizing neurovascular changes during natural behavior, seizure-induced neurovascular disruptions, and in vivo cellular and microvascular phenotyping of brain tumor microenvironments. Finally, CloudScope’s architecture enables ‘time-shared’ imaging, which potentially reduces animal use. Collectively, CloudScope’s neurosurveillance capabilities in conjunction with CNS disease models establish a new paradigm for characterizing their etiology and evolution.

  • Incidence of New Asthma and Asthma Exacerbation Pre‐ and Post‐ COVID ‐19 Pandemic in the United States

    by Ryan C. Lee, Darren L. Yang, Roham Hadidchi, Montek Singh Boparai, Sonya Henry, Tim Q. Duong

    Summary: Overall asthma incidence and exacerbations fell during COVID‐19 and remained below pre‐pandemic levels by 2024. Post‐pandemic asthma rates rebounded to baseline in children but remained suppressed in adults.