Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection and surgical planning. DOCI captures the natural autofluorescence of tissue without dyes, and machine-learning models use this data to classify cancer subtypes and generate precise tumor maps. This approach shows promise for providing real-time, label-free guidance during surgery, potentially reducing unnecessary procedures and improving patient outcomes.

A recent study published in the medical journal Gut has revealed a novel cancer-promoting mechanism of Streptococcus anginosus (Sa). The research shows that methionine metabolites produced by this bacterium can significantly contribute to the development of gastric cancer.

This finding deepens the understanding of the gut microbiome’s role in cancer and opens new paths for microbiota-targeted prevention strategies.

 In this system, Fc could convert overexpressed H₂O₂ to produce ·OH. Importantly, Cur could form dynamic boronate ester bonds with BA, and be encapsulated in SPSAs-1 through responsive chemical bond to form SPSAs-2. The acidic microenvironment and excessive H₂O₂ within tumor cells cause the dissociation of boronate ester bonds and β-CD/Fc complexes, releasing Cur. As a result, the GSH level could be reduced through the combination of the BA-induced GSH consumption and Cur-induced inhibition of TrxR activation, further enhancing CDT efficacy.