Medicine + Health

  • urinary tract infection diagnosis via smartphone
    A new app developed by UCSB researchers enables a smartphone to ID bacteria in just one hour
  • Karen Scida receives the Otis Williams Postdoctoral Fellowship for a pump that delivers insulin via bubbles
  • Stem cell advance brings bioengineered arteries closer to reality
  • With a high degree of accuracy, scientists’ neural network model can predict melanoma from images
  • UCSB researchers investigate the wisdom of crowds in the realm of visual searches
  • Andrés Consoli
    UCSB scholar co-authors book for using Cognitive-Behavioral Therapy with anxious children and adolescents