Reimagining the infrastructure of cancer care

In my work as a clinician, I've spent nearly two decades watching the same pattern repeat itself: the treatments that earn approval through randomised controlled trials, our gold standard for evidence, are often tested on populations that don't look like the patients sitting in my clinic. The gap between what clinical trials demonstrate and what I observe in clinical practice isn't merely theoretical—it's reflected in patients sitting in our clinics—and this is precisely where real-world evidence becomes not just valuable but essential.

STUDY: Cancer patients experience longer survival in community oncology settings, affirming the high-quality care delivered across community practices

If there’s a question I hear most often from researchers it’s: How can we trust real-world data extracted by AI?

New research showcases the impact of large language models from extracting nuanced clinical information from unstructured data sources to successfully building digital twin models that simulate patient outcomes under different treatment scenarios