Research
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Student-developed machine-learning techniques make surgeries safer, easier to review
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreApr. 12, 2021
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Research Snapshot: New microscopy technique unveils feature that can shape applications of a class of quantum materials
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreApr. 8, 2021
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Research Snapshot: Exosuit concept developed at Vanderbilt peeks at the future of wearable tech
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreMar. 25, 2021
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A drop of rubbing alcohol and office laminator provides manufacturability boost for single atom thick membranes
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreMar. 5, 2021
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Photonics discovery portends dramatic efficiencies in silicon chips
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreMar. 1, 2021
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Collaboration propels advancements in personalized cochlear implant procedures
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreFeb. 26, 2021
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New $2 million NIH grant advances less invasive procedure for TLE
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreFeb. 16, 2021
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Vanderbilt researchers’ surgical robots could make radical prostatectomy safer, less invasive
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreFeb. 10, 2021
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Trans-institutional collaboration receives $2 million BRAIN Initiative grant, developing brain organoids to map neurological development
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreFeb. 3, 2021
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Dozens of engineering professors among world’s top 2% of working scientists
Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read MoreJan. 25, 2021