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2. Genetically-based Cox-NTCP models for late toxicity after prostate cancer RT

3. GENETICALLY-BASED COX-NTCP MODELS FOR LATE TOXICITY AFTER PROSTATE CANCER RT

4. How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis

6. PO-2025 Reconstructing dose distributions from manually planned electron boosts in breast radiotherapy

7. MO-0056 NTCP Models for Late Tissue Fibrosis Following Breast RT are Validated in a Large Prospective Cohort

8. OC-0607 Pattern of brain metastases after HA-PCI and SRCF in SCLC: pooled findings of NCT01780675 and PREMER

10. OC-0608 Do patients with lung cancer and a genetic risk for rheumatoid arthritis have increased toxicity?

11. OC-0270 Metastases-directed SRT and systemic therapy: EORTC-ESTRO OligoCare delphi consensus recommendations

12. OC-0611 Lungtech EORTC 22113-08113 prospective multicenter trial: SBRT for central lung tumors.

13. OC-0510 Genetically-based Cox-NTCP models for late toxicity after prostate cancer RT

14. How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis

15. CO-04.5 - GENETICALLY-BASED COX-NTCP MODELS FOR LATE TOXICITY AFTER PROSTATE CANCER RT

20. Prostate Cancer Patients with a High Polygenic Risk of Rheumatoid Arthritis have Increased Radiotherapy Toxicity

21. Whole Tumor vs. FDG-Directed Dose Escalation in Patients with Locally Advanced NSCLC: Evaluation of Isotoxic Treatment Plans from the Randomized ARTFORCE PET-Boost Trial

22. Measurement of the D→ππ branching fractions

27. MO-0557 Estimates of α/β ratios for individual late urinary toxicity endpoints: analysis of a cohort trial

28. MO-0801 Machine learning based models of radiotherapy-induced skin induration for breast cancer patients

29. MO-0386 Treatment time and circadian genotype interact to alter the severity of radiotherapy side-effects

31. OC-0135 Predicting patient-reported symptom clusters in lung cancer patients: a machine learning approach

32. OC-0505 Coverage with evidence development: generating real-life evidence on SBRT in Belgium.

38. Prevalence and predictors of cognitive impairment in adult glioma survivors after multimodal therapy

40. Predicting patient-reported symptom clusters in prostate cancer patients: A machine learning approach

44. Introducing PIONEER: a project to harness big data in prostate cancer research

45. Author Correction: Introducing PIONEER: a project to harness big data in prostate cancer research (Nature Reviews Urology, (2020), 17, 6, (351-362), 10.1038/s41585-020-0324-x)

50. PD-0766 Impact of treatment and clinical factors on worsening of functional scales after prostate cancer RT

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