Cancer detection is challenging, especially in patients with diffuse symptoms that overlap with non-malignant conditions. Here, the authors develop a proteomics- and minimally invasive blood sampling-based classification model as a triage tool to identify and prioritize individuals at high cancer risk that would benefit the most from rapid and highly sensitive diagnostic modalities.
- Fredrika Wannberg
- María Bueno Álvez
- Charlotte Thålin
