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  • An arm with a small computer chip and a bandage attached to it.
    A team of researchers led by Tufts faculty and alumni have created a prototype of a "smart" bandage that can monitor the conditions of a wound and deliver drug treatment. 
  • A man reaches and points at a chalkboard with writing on it.
    Professor Sameer Sonkusale (pictured), Robert D'Angelo, EG17, and a team of researchers published findings on a more efficient and novel algorithm for computer vision processes involving large amounts of data. 
  • Headshots of the five members of the Picture This! team
    A team of Tufts researchers is developing an artificial intelligence incorporated with computer vision techniques to report nutrient intake.
  • A headshot of a white man with brown hair
    Assistant Professor Brian Timko was named to the inaugural class of Young Innovators in NanoBiotech, established by the journal Nano Research
  • A headshot of a white woman with brown hair and bangs
    Professor Kathleen Fisher spoke about hacking, machine learning, and cyber security research on the Silver Bullet Security podcast. 
  • 3 adult women and 2 girls stand for a photo
    Laney Strange, a lecturer in computer science, and Tufts Girls of Code were recognized as an Outstanding Service Unit Partner by the Medford Girl Scouts.
  • A roller coaster car full of people in the air against a blue sky
    Professor Masoud Sanayei analyzes the structural health of roller coasters.
  • A man with short brown hair smiles at the camera, holding a large drone slightly out of focus
    Associate Professor Usman Khan (pictured) and Sam Safavi, EG17, are part of a research team investigating effective ways to create location awareness for 5G IoT devices.
  • Bright green algae on blue water.
    Professor Steven Chapra points to warming temperatures due to climate change as the reason for more toxic algae bloom in U.S. waters.
  • An aerial shot of Boston in the sun
    Professor William Messner spoke to Slate about the potential risks and possibilities for self-driving cars on the uniquely challenging streets of Boston.

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