Research News

Graphic depicting a virus.
  • Can AI help spot ‘healthy’ viruses in our bodies?
    5/21/26

    UB researchers have been awarded $1.6 million grant to use lab methods and AI to probe the human virome.

  • Analytics/AI conference brings new perspectives
    11/28/23

    UB hosted the gathering of industry and academic experts dedicated to exploring the frontiers of data analytics and artificial intelligence. 

  • How carnivorous Asian pitcher plants acquired signature insect trap
    11/28/23

    Study finds duplicated genomes may have paved the way for specialized carnivory and separate-sexed plants.

  • UB tops in New York for computer infrastructure awards
    11/27/23

    NSF funding points to UB’s statewide leadership in computing resources, AI and data science capabilities.

  • RNA’s solo act on the ever-changing stage of cellular dynamics
    11/27/23

    While RNA is well known for its part in cutting-edge vaccine technology, a UB-led study looks at its lesser explored role in the inner workings of cells.

  • The power of reflecting upon legacy
    11/22/23

    A new study reveals how to unlock the “Andrew Carnegie Effect” to address societal issues.

  • Giving community members a voice in research planning
    11/21/23

    The CTSI's Community Engagement Studios connect community members with researchers to help plan more impactful studies.

  • The threat of deepfakes
    11/21/23

    UB AI expert David Doermann warned lawmakers about the dangers of deepfakes and other synthetic media during recent testimony on Capitol Hill.

  • Team Alice receives $1.95 million grant
    11/21/23

    The funding will expand the work of the initiative that looks into ways to protect older adults from medication harm across the health care system.

  • Abusive leadership leads to exhausted employees
    11/20/23

    A UB-led study finds stressed employees become too depleted to properly recover.

  • Exploring social media links with inflammation, depression
    11/17/23

    Researchers hypothesize that social media use is responsible for the rise in teen depression.