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Alice Conner studied the MSc in Radiobiology in 2023-24, having completed a BMedSci in Physiology at the University of Sydney. Alice, who was awarded the Radiobiology course prize, shares insights on her experience of the programme and how it has informed her career path.

Diagnostic Implications of Multi-Cancer Early Detection Testing in the Investigation of Cancer Symptoms: An Exploratory Retrospective Analysis of the SYMPLIFY Study.

Jackson A. et al, (2026), Lancet Reg Health Eur, 66

Pragmatism in academic gastrointestinal cancer clinical trials: An analysis of trials conducted by the EORTC gastrointestinal tract cancer group and the unicancer gastrointestinal group.

Puhr HC. et al, (2026), Eur J Cancer, 241

Supplementary Figure S2 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Figure S1 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Figure S7 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Figure S9 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Figure 3 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Supplementary Figure S5 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Figure 4 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Supplementary Table 2 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Supplementary Figure 1 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Supplementary Table 4 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Supplementary Figure S8 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Figure S4 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Table 3 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Supplementary Figure 2 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Table S1 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Table 1 from The SCRUM-MONSTAR Cancer-Omics Ecosystem: Striving for a Quantum Leap in Precision Medicine

Hashimoto T. et al, (2026)

Supplementary Figure S3 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

Supplementary Figure S6 from Mathematical Modeling Predicts Optimal Immune Checkpoint Inhibitor and Radiotherapy Combinations and Timing of Administration

Sakai SA. et al, (2026)

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