Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Surya Rajeev"'
Autor:
Praveen Birur N., Bofan Song, Sumsum P. Sunny, Keerthi G., Pramila Mendonca, Nirza Mukhia, Shaobai Li, Sanjana Patrick, Shubha G., Subhashini A.R., Tsusennaro Imchen, Shirley T. Leivon, Trupti Kolur, Vivek Shetty, Vidya Bhushan R., Daksha Vaibhavi, Surya Rajeev, Sneha Pednekar, Ankita Dutta Banik, Rohan Michael Ramesh, Vijay Pillai, Kathryn O.S., Petra Wilder Smith, Alben Sigamani, Amritha Suresh, Rongguang Liang, Moni A. Kuriakose
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool that empowers Frontline-Health-Workers (FHW). This study was conducted to validate the accuracy of Convolutional-Neural-Network (CNN) enabled
Externí odkaz:
https://doaj.org/article/eb74f82e6fba4b6a8b7a4621651c0322
Autor:
Daniel Kevin Llanera, Rebekah Wilmington, Haika Shoo, Paulo Lisboa, Ian Jarman, Stephanie Wong, Jael Nizza, Dushyant Sharma, Dhanya Kalathil, Surya Rajeev, Scott Williams, Rahul Yadav, Zubair Qureshi, Ram Prakash Narayanan, Niall Furlong, Sam Westall, Sunil Nair
Publikováno v:
Frontiers in Endocrinology, Vol 12 (2022)
ObjectiveTo identify clinical and biochemical characteristics associated with 7- & 30-day mortality and intensive care admission amongst diabetes patients admitted with COVID-19.Research Design and MethodsWe conducted a cohort study collecting data f
Externí odkaz:
https://doaj.org/article/b7f50dae405d438181d079acb2d3bf44
Autor:
Praveen Birur N., Bofan Song, Sumsum P. Sunny, Keerthi G., Pramila Mendonca, Nirza Mukhia, Shaobai Li, Sanjana Patrick, Shubha G., Subhashini A.R., Tsusennaro Imchen, Shirley T. Leivon, Trupti Kolur, Vivek Shetty, Vidya Bhushan R., Daksha Vaibhavi, Surya Rajeev, Sneha Pednekar, Ankita Dutta Banik, Rohan Michael Ramesh, Vijay Pillai, Kathryn O.S., Petra Wilder Smith, Alben Sigamani, Amritha Suresh, Rongguang Liang, Moni A. Kuriakose
Publikováno v:
Scientific reports. 12(1)
Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool that empowers Frontline-Health-Workers (FHW). This study was conducted to validate the accuracy of Convolutional-Neural-Network (CNN) enabled m(mobile
Autor:
Ankita Dutta Banik, Shubha G, Rohan Ramesh, Sneha Pednekar, Praveen Birur N, Trupti Kolur, Amritha Suresh, Petra Wilder Smith, Surya Rajeev, Bofan Song, Nirza Mukhia, Shaobai Li, Vidya Bushan R, Vijay Pillai, Moni Abraham Kuriakose, Alben Sigamani, Tsusennaro Imchen, Shubhashini Ar, Sanjana Patrick, Rongguang Liang, Pramila Mendonca, Kathryn Osann, Daksha Vaibhavi, Sumsum P. Sunny, Vivek Shetty, Keerthi G, Shirley T Leivon
Publikováno v:
SSRN Electronic Journal.
Background: Early detection of oral cancer in low-resource settings necessitates a robust, Point-of-Care screening tool that can empower Frontline-Health-Workers (FHW) for triaging high-risk populations. This study was conducted to validate the accur
Publikováno v:
Endocrine Abstracts. :1-1