Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making

JO Deasy - Seminars in radiation oncology, 2024 - Elsevier
Radiotherapy aims to achieve a high tumor control probability while minimizing damage to
normal tissues. Personalizing radiotherapy treatments for individual patients, therefore …

Normal tissue toxicity prediction: clinical translation on the horizon

SL Kerns, WA Hall, B Marples, CML West - Seminars in Radiation …, 2023 - Elsevier
Improvements in radiotherapy delivery have enabled higher therapeutic doses and
improved efficacy, contributing to the growing number of long-term cancer survivors. These …

Epistatic features and machine learning improve Alzheimer's disease risk prediction over polygenic risk scores

S Hermes, J Cady, S Armentrout… - Journal of …, 2024 - journals.sagepub.com
Background: Polygenic risk scores (PRS) are linear combinations of genetic markers
weighted by effect size that are commonly used to predict disease risk. For complex …

Learning high-order interactions for polygenic risk prediction

MC Massi, NR Franco, A Manzoni, AM Paganoni… - Plos one, 2023 - journals.plos.org
Within the framework of precision medicine, the stratification of individual genetic
susceptibility based on inherited DNA variation has paramount relevance. However, one of …

Polygenic risk scores associated with tumor immune infiltration in common cancers

J Choi, JS Kim, HJ Sung, YW Chen, Z Chen, W Wen… - Cancers, 2022 - mdpi.com
Simple Summary Polygenic risk scores (PRSs) have been used to predict the risk of
developing cancer. However, whether PRSs are associated with immune infiltration in solid …

[HTML][HTML] The normal, the radiosensitive, and the ataxic in the era of precision radiotherapy: A narrative review

S Pereira, E Orlandi, S Deneuve, A Barcellini… - Cancers, 2022 - mdpi.com
Background: radiotherapy is a cornerstone of cancer treatment. When delivering a
tumoricidal dose, the risk of severe late toxicities is usually kept below 5% using dose …

A review of disease risk prediction methods and applications in the omics era

C Sun, X Cheng, J Xu, H Chen, J Tao, Y Dong… - …, 2024 - Wiley Online Library
Risk prediction and disease prevention are the innovative care challenges of the 21st
century. Apart from freeing the individual from the pain of disease, it will lead to low medical …

Genomic-adjusted radiation dose to personalise radiotherapy

O Kaidar-Person, P Poortmans, R Salgado - The Lancet Oncology, 2021 - thelancet.com
In The Lancet Oncology, Jacob Scott and colleagues1 describe an algorithm using the
genomic-adjusted radiation dose (GARD) to personalise radiotherapy dose prescription on …

Transfer learning with false negative control improves polygenic risk prediction

XJ Jeng, Y Hu, V Venkat, TP Lu, JY Tzeng - PLoS genetics, 2023 - journals.plos.org
Polygenic risk score (PRS) is a quantity that aggregates the effects of variants across the
genome and estimates an individual's genetic predisposition for a given trait. PRS analysis …

Radiogenomics in lung cancer: Where are we?

ME Aguado-Barrera, P Sosa-Fajardo… - Lung Cancer, 2023 - Elsevier
Huge technological and biomedical advances have improved the survival and quality of life
of lung cancer patients treated with radiotherapy. However, during treatment planning, a …