S
Sharada Rai
Researcher at Manipal University
Publications - 12
Citations - 127
Sharada Rai is an academic researcher from Manipal University. The author has contributed to research in topics: Bone marrow & Burn injury. The author has an hindex of 4, co-authored 12 publications receiving 72 citations.
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Journal ArticleDOI
Photo-biomodulatory Response of Low-power Laser Irradiation on Burn Tissue Repair in Mice
Bharath Rathnakar,Bola Sadashiva Satish Rao,Vijendra Prabhu,Subhash Chandra,Sharada Rai,Anuradha Calicut Kini Rao,Anuradha Calicut Kini Rao,Mrinalini Sharma,Pradeep Kumar Gupta,Krishna Kishore Mahato +9 more
TL;DR: It is demonstrated that a single exposure of 3-J/cm2 fluence at 830-nm enhanced burn wound healing progression in mice, which is equivalent to 5 % povidone iodine treatment (reference standard), applied on a daily basis till complete healing.
Journal ArticleDOI
A Quest for Accuracy: Evaluation of The Paris System in Diagnosis of Urothelial Carcinomas.
Sharada Rai,Bhagat Singh Lali,Chaithra G Venkataramana,Cheryl Sarah Philipose,Ranjitha Rao,Gg Laxman Prabhu +5 more
TL;DR: Criteria of TPS limit the AUC category and enhance the sensitivity and accuracy of detecting HGUC, and adopt TPS for urinary cytology will ensure uniformity and accuracies of HGUC diagnosis.
Journal ArticleDOI
PEGylation of superparamagnetic iron oxide nanoparticle for drug delivery applications with decreased toxicity: an in vivo study
TL;DR: An optimal dose of PS is indicated, which could be used for surface modification for targeted drug delivery applications with least toxicity, in view of further surface engineering for its clinical applications.
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Guidelines for various laboratory sections in view of COVID-19: Recommendations from the Indian Association of Pathologists and Microbiologists.
Vatsala Misra,Ranjan Agrawal,Harendra Kumar,Asaranti Kar,Usha Kini,Aruna Poojary,Indranil Chakrabarti,Sharada Rai,Anika Singhal,S Vijay Shankar,Jayaram N Iyengar +10 more
TL;DR: These guidelines help in preventing the laboratory staff and healthcare workers from contracting the disease which has a known human to human route of transmission and high rate of mortality.
Journal ArticleDOI
Exploring photoacoustic spectroscopy-based machine learning together with metabolomics to assess breast tumor progression in a xenograft model ex vivo
Jackson Rodrigues,Ashwini Amin,Chandavalli Ramappa Raghushaker,Subhash Chandra,Manjunath B. Joshi,Keerthana Prasad,Sharada Rai,Subramanya G. Nayak,Satadru Ray,Krishna Kishore Mahato +9 more
TL;DR: In this paper, a breast tumor xenograft was established in athymic nude mice by subcutaneous injection of the MCF-7 cell line and assessed the tumor progression by photoacoustic spectroscopy combined with machine learning tools.