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Michael Chang

· MD

University of California, San Diego · Gastroenterology

Active 2002–2025

h-index29
Citations16.4k
Papers7537 last 5y
Funding

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Michael Chang is an Associate Clinical Professor of Medicine at UC San Diego. His research focuses on esophageal anatomy and physiology, particularly across different phenotypes of disorders of esophagogastric junction outflow. His work includes studying diagnostic methods to measure spastic segments and guide tailored myotomy length in type 3 achalasia, as well as comparing various endoscopic techniques for gastrointestinal procedures. Chang has contributed to the understanding and management of gastrointestinal conditions through his publications and clinical expertise. His research also encompasses endoscopic management of gastrointestinal bleeding, treatment of biliary and esophageal conditions, and the development of innovative endoscopic techniques.

Research topics

  • Biology
  • Virology
  • Bioinformatics
  • Artificial Intelligence
  • Computer Science
  • Evolutionary biology
  • Internal medicine
  • Cartography
  • Medicine
  • Computational biology

Selected publications

  • Discovery of SARS-CoV-2 antiviral drugs through large-scale compound repurposing

    Nature · 2020 · 855 citations

    and the cysteine protease inhibitors MDL-28170, Z LVG CHN2, VBY-825 and ONO 5334. Notably, MDL-28170, ONO 5334 and apilimod were found to antagonize viral replication in human pneumocyte-like cells derived from induced pluripotent stem cells, and apilimod also demonstrated antiviral efficacy in a primary human lung explant model. Since most of the molecules identified in this study have already advanced into the clinic, their known pharmacological and human safety profiles will enable accelerate…

  • Gemini: A Family of Highly Capable Multimodal Models

    arXiv (Cornell University) · 2023 · 803 citations

    This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks - notably being the first mode…

  • Functional landscape of SARS-CoV-2 cellular restriction

    Molecular Cell · 2021 · 227 citations

  • Diet and feeding pattern modulate diurnal dynamics of the ileal microbiome and transcriptome

    Cell Reports · 2022 · 104 citations

    Compositional oscillations of the gut microbiome are essential for normal peripheral circadian rhythms, both of which are disrupted in diet-induced obesity (DIO). Although time-restricted feeding (TRF) maintains circadian synchrony and protects against DIO, its impact on the dynamics of the cecal gut microbiome is modest. Thus, other regions of the gut, particularly the ileum, the nexus for incretin and bile acid signaling, may play an important role in entraining peripheral circadian rhythms. W…

  • Influenza virus repurposes the antiviral protein IFIT2 to promote translation of viral mRNAs

    Nature Microbiology · 2020 · 87 citations

Frequent coauthors

  • Christopher Benner

    University of California, San Diego

    38 shared
  • Lars Pache

    Discovery Institute

    29 shared
  • Adolfo Garcı́a-Sastre

    Icahn School of Medicine at Mount Sinai

    25 shared
  • Sumit K. Chanda

    Scripps Research Institute

    21 shared
  • Laura Martin‐Sancho

    Imperial College London

    16 shared
  • Courtney Nguyen

    The University of Texas Health Science Center at Houston

    15 shared
  • Paul D. De Jesus

    Scripps Research Institute

    13 shared
  • Sascha H. Duttke

    Washington State University

    12 shared

Labs

  • Michael Chang | UCSD ProfilesPI

Education

  • Ph.D., Molecular and Computational Biology

    University of California, San Diego

    2000
  • M.S., Molecular and Computational Biology

    University of California, San Diego

    1997
  • B.S., Biology

    University of California, San Diego

    1995

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