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MiRNA based early diagnostic model for prostate cancer

Implementing Organization

Mirnow Llp, Uttar Pradesh

Project Overview

This approach will be the first of its kind where links of known risk-associated miRNAs will be explored in the large cohort of the Indian population.

Benefits

Using miRNA expression patterns we will construct a machine learning algorithm for a panel of miRNAs and thus create a PCa early diagnosis model specific to the Indian population setting. Early diagnosis of PCa will not only promote healthy life changes through creating self-health awareness but also will save patient from undergoing more invasive method of PCa diagnosis such as DRE, Biopy etc. Early diagnosis will also cut down the delay time in access to the hospital where more robust preventive and treatment strategies could be adopted to reduce PCa associated morbidity and mortality.
Funding Organization
Funding Organization
Biotechnology Industry Research Assistance Council, New Delhi
Quick Information
Thrust Areas
Life Sciences & Biotechnology
Focus Area
Smart device, Digital Health
Status
Early stage Validation
Output
Status
Early stage Validation
TRL: Technology Readiness Level
TRL 6
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