A biologically interpretable imaging biomarker that quantifies tumor vascular complexity from routine imaging, improving prognosis and treatment-response monitoring for non-small cell lung cancer patients on immune checkpoint inhibitors.

Open-source research benchmarking five vector compression methods (PQ, OPQ, SQ, SAQ, RaBitQ) across production-scale embedding datasets up to 53M vectors. The infrastructure that makes large-scale semantic search and RAG systems efficient.

A study examining the substantial out-of-pocket cost burden faced by cancer patients undergoing curative-intent surgery without adjuvant treatment — and how rising care costs in the United States are reaching even patients on the most straightforward treatment paths.