Announcements

  • Focus on liver fibrosis

    Leading experts describe their key advances of the year. Topics covered include: liver transplantation; gut microbiota; ENS; IBD; obesity; CRC.

  • Image shows organs, neurons and microbes in the spotlight

    This Collection covers articles about the pathophysiology and therapeutic implications of Liver Fibrosis.

  • Image of Nature Reviews Gastro twitter logo

    Follow us for news about the journal and the latest updates from the gastroenterology and hepatology field.

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  • The lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA+) community navigates a complex social landscape marked by strides in acceptance alongside enduring discrimination. Allies — individuals outside of the LGBTQIA+ spectrum who support and advocate for this community — are paramount, with allyship playing a critical part in influencing the health and well-being of LGBTQIA+ individuals.

    • Daniel J. Huynh
    • Sonali Paul
    • Nikki Duong
    Comment
  • Magnetic resonance imaging following injection of hepatobiliary contrast agents improves the detection of hepatocellular carcinomas when contrast agent accumulations in tumours and the surrounding pathological liver differ. However, tissue accumulation is poorly investigated, and this Clinical Outlook article highlights experimental data to understand better contrast agent accumulation in human pathological livers.

    • Catherine M. Pastor
    • Valérie Vilgrain
    Clinical Outlook
  • Cultural safety seeks to remediate health inequities through empowering marginalized and minoritized patient populations, minimizing implicit bias and incorporating social determinants of health into practice. Here, we propose a cultural safety framework to guide communication with patients from sexual and gender minorities.

    • Newsha Nikzad
    • Nikki Duong
    • Sonali Paul
    Comment
A human body showing various organs, on a background of biometric, biological and mathematical patterns.

AI in health care

The use of artificial intelligence (AI), including machine learning and large language models, is revolutionizing health care, from drug discovery and development, through to applications in the risk stratification, diagnosis, imaging, monitoring, prognostication, and pharmacological and surgical treatment of patients.
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