Can AI help deliver better medicines to patients?
Artificial intelligence has entered drug discovery and development supporting target identification and validation, but challenges remain
Machine learning models predict adverse events and survival in patients receiving immunotherapy
New data supports the use of artificial intelligence for the administration of immune-check inhibitors in solid tumours
Tumour-agnostic drug development is revolutionising precision oncology
While the field is rapidly evolving, regulatory shifts and greater access to tumour profiling are now needed to realise the full benefits for patients
Talazoparib plus axitinib show some signs of efficacy in heavily pretreated cancers
Early-phase findings report manageable toxicity when combining the PARP inhibitor with the anti-angiogenesis inhibitor in two cohorts of patients with ovarian and castration-resistant prostate tumours
First-line combination of an antibody–drug conjugate plus immunotherapy shows promise in non-small cell lung cancer
In the TROPION-Lung04 study, no new safety signals were observed with datopotamab deruxtecan plus durvalumab in patients with untreated advanced disease
Trastuzumab deruxtecan shows encouraging overall response rates in untreated HER2-positive metastatic breast cancer
Results from an interim analysis suggest the antibody–drug conjugate alone or in combination with pertuzumab may have a role in the first-line setting
Can AI and liquid biopsies take precision oncology to the next level?
According to the 2025 ESMO TAT Honorary Awardee, Prof. Philippe Bedard, new technologies have the potential to increase the wealth of information generated from trials and registries