list : Immunology

  • Viral genome packing key in replication

    Disrupting a virus’s genome packaging can halt replication and jumpstart a natural immune response against subsequent exposures, a Stanford Medicine study finds.

  • Cancer tolerated by immune system

    Cancer cells in the lymph nodes trick the immune system into tolerating their presence and welcoming metastasis, a pair of Stanford studies find. Blocking this process could stop cancer’s spread.

  • Magazine explores molecules within us

    The new issue of Stanford Medicine magazine features articles about the molecules that make us who we are and how understanding them can lead to medical discoveries and innovations.

  • Mark Davis on immunology research

    Vaccinology has taken great leaps forward in the past decade, largely due to advanced analytical methods as well as a shift in researchers’ focus from rodents to humans.

  • Hints into long COVID

    People with lower levels of an antiviral antibody as well as those with lung disease take longer to clear COVID-19 symptoms, say Stanford Medicine researchers.

  • Gummy phlegm and COVID-19

    Levels of a stringy, spongy substance soar in the sputum of COVID-19 patients requiring intubation, accounting for at least some of their breathing trouble. Development of an off-patent drug may prevent it.

  • Stanford Medicine provides monkeypox test

    Stanford Medicine now provides a test for the monkeypox virus. Rapid identification of infected people will help combat the virus’s spread and facilitate patient care.

  • Immunosuppression-free kidney transplant

    Using a method they developed for stem cell transplants, a Stanford team has enabled children with immune disorders to receive a new immune system and a matching kidney from a parent.

  • Jeffrey Glenn receives $69 million grant

    Stanford Medicine’s SyneRx will develop drugs to fight viral pathogens with high pandemic potential, including the one that causes COVID-19.

  • 1,000+genes linked to severe COVID-19

    Using machine learning, researchers from Stanford Medicine and their collaborators found specific genetic signals in people who develop severe coronavirus infection.