AI tool outperforms manual PD-L1 scoring in a study
Integrating artificial intelligence into pathology routine workflows could optimise patient selection for immunotherapy
Integrating artificial intelligence into pathology routine workflows could optimise patient selection for immunotherapy
Blocking GDF-15, an mRNA-based therapy and targeting VISTA have a strong mechanistic rationale, resulting in clinical benefit in heavily pre-treated patients
Although the phase III investigational study with IO102-IO103 plus pembrolizumab is negative, it offers precious insights to advance research in the field
Despite the presentation of encouraging study findings with novel immunotherapy-based therapies, long-term outcomes are needed to better understand the magnitude of clinical benefit and many questions remain around off-target toxicity and the identification of patients most likely to respond to treatment
Robust efficacy findings and unexpectedly low haemorrhagic events were observed with the bispecific antibody but results will only change practice if benefits translate into overall survival and are replicated beyond China
Although genomics-guided personalised cancer vaccines have demonstrated efficacy in early-phase clinical studies, we are still awaiting the results of larger-scale trials
After decades of missed promises, cancer vaccines are likely approaching prime time due to major advances in cancer immunobiology, immunotherapy and biomedical technology
Study findings reveal that good thymic health, based on an AI-derived algorithm, is associated with improved survival after immunotherapy in different tumour types
Despite greater attention being given to treatment effects on patient wellbeing, the high heterogeneity of methodologies still limits the usefulness of QoL assessment
Findings from the NeoADAURA and the CheckMate 816 provide novel insights on the role of neoadjuvant osimertinib and nivolumab in the perioperative setting
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