Paolo Tarantino, Clinical Research Fellow at Dana-Farber Cancer Institute, shared a post on X:
“Combining trained detection dogs indications with a Bayesian framework incorporating historical dog performance and participants features yielded 90.8% sensitivity and 91.3% specificity for multicancer detection from breath. Truly, the human’s best friend! ”
Harold Burstein, Breast Cancer Specialist and Professor at Harvard Medical School and at Dana-Farber Cancer Institute, shared the post, adding:
“The study was sponsored by a start-up called Dognosis Inc, San Francisco, CA.”
Title: Canine Olfaction Combined With Bayesian Modeling for Multicancer Detection From Breath Samples: A Phase II Study in India
Authors: Sanjeev Kulgod, Basavaraj Patil, Shashidhar Kallappa, Rakesh Ramesh, Kiran Kulkarni, Somashekhar SP, Swaratika Majumdar, Akshita Singh, Claire Guest, Rob Harris, Ido Aviram, Sahana Shanbhag, Achin Parashar, Sree Subha Ramaswamy, Itamar Bitan, Akash Kulgod
Other articles featuring Paolo Tarantino on OncoDaily.