AI & DIGITAL ONCOLOGY

Can AI help deliver better medicines to patients?
Artificial intelligence has entered drug discovery and development supporting target identification and validation, but challenges remain
Embracing interdisciplinary collaboration for an AI-driven oncology
ESMO now welcomes members from other disciplines to support and expedite the digital transformation of cancer care
AI-driven tool shows to improve risk stratification in colorectal cancer
A system integrating computer tomography scans and pathological markers offers promise to personalise adjuvant therapy
TARGETED THERAPIES

Prolonged intertreatment interval improves outcomes to EGFR rechallenge in metastatic colorectal cancer
Randomised trials and real-world data propel the anti-EGFR rechallenge approach towards standard of care, but more solid evidence is needed
An analysis reveals distinct patterns of expression of antibody–drug conjugate targets in high-grade serous ovarian cancer
A small Japanese study provides useful insights on determining the role of these agents in cancer care, but studies in larger, more diverse populations are needed
Tucatinib combo continues to show durable benefit in HER2-mutated metastatic breast cancer
Final data from the SGNTUC-019 trial support the use of the agent with trastuzumab in heavily pretreated patients