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
Implementing Organization
Tata Memorial Centre Advanced Centre For Treatment, Research And Education In Cancer
Principal Investigator
Dr Supriya Jayant Sastri
Professor
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Research and Education in Cancer (TMC-ACTREC), Mumbai
Tata Memorial Centre-Advanced Centre for Treatment
CO-Principal Investigator
Dr Jamema Swamidas
Associate Professor
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Tata Memorial Centre Advanced Centre For Treatment, Research And Education In Cancer
CO-Principal Investigator
Ms. Sadhana Kannan
Tata Memorial Centre Advanced Centre For Treatment, Research And Education In Cancer
Scientific Officer
Project Overview
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.
Tata Memorial Centre Advanced Centre For Treatment, Research And Education In Cancer
Professor
Tata Memorial Centre-Advanced Centre for Treatment
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