• Shreelakshmi
• Shreenidhi M
• Sneha K M
• Sushmitha P
• Dr. Sreenivasa B C

Being able to foresee how a patient with cancer will react to radiotherapy and their likelihood of experiencing negative long-term health effects can improve customized treatment strategies. Telomeres serve as a crucial indicator of an individual's sensitivity to radiation, correlating with the late effects caused by it. The length of telomeres was tracked in men with prostate cancer who were undergoing intensity-modulated radiation therapy (IMRT) using Telo-FISH. Changes in chromosomes were evaluated through dGH to anticipate the risk of developing additional malignancies. By incorporating individual telomere data into an XGBoost model, we could forecast the outcomes after radiotherapy, aiding in the evaluation of sensitivity to radiation and the risk of late effects.

Telomeres, TeloFish,genomic instability, chromosomal rearrangements, prostate carcinoma, intensity-modulated radiation therapy, Machine Learning, individual radiation sensitivity,Linear Regression, XG Boost

"Personalized RadioSensitivity Assessment Based on Telomere Dynamics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.l270-l274, April-2024, Available :http://www.jetir.org/papers/JETIR2404B35.pdf

"Personalized RadioSensitivity Assessment Based on Telomere Dynamics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppl270-l274, April-2024, Available at : http://www.jetir.org/papers/JETIR2404B35.pdf