Research

Medical Sciences

Title :	Developing clinical high efficiency platforms for individualized treatment through integration of advanced radiation technology, quantitative imaging & molecular biology & machine learning for treatment of cervix cancer
Area of Research :	Medical Sciences
Focus Area :	Oncology
Principal Investigator :	Dr Supriya Jayant Sastri, Professor, Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai
Co-PI:	Dr Jamema Swamidas, Associate Professor, Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai, Ms. Sadhana Kannan, Scientific Officer, Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai
Contact info :	supriyasastri@gmail.com
Timeline Start Year :	2022
Associated Programme / Scheme :	Core Research Grant (CRG)
Total Budget (INR):	66,25,936

Details

Executive Summary :

This study aims: 1. To develop & validate knowledge-based automated platforms for delivering high-precision treatment for cervix cancer in time efficient manner through the integration of machine learning for “target delineation “& “treatment planning”. 2. To use existing databases & radiation dose maps of patient treatment parameters & adverse events for machine learning to develop “normal tissue complication plots “& to identify cervix cancer patient subgroups that may benefit from advanced and expensive radiation techniques. 3. To use advanced image texture analysis & biomarker data within ongoing institutional & collaborative clinical trials to identify ‘high-risk patient population’ that may benefit from intensification of treatment in future.

Organizations involved

Implementing Agency :	Tata Memorial Centre-Advanced Centre for Treatment, Research and Education in Cancer (TMC-ACTREC), Mumbai
Funding Agency :	Science and Engineering Research Board (SERB), Department of Science and Technology (DST)