Research
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 |
Timeline Start Year : | 2022 |
Contact info : | supriyasastri@gmail.com |
Associated Programme / Scheme : | Core Research Grant (CRG) |
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. |
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 |
Total Budget (INR): | 66,25,936 |