Deep Learning Boosts PET Kinetic Parameter Estimation for Liver Cancer
A deep neural network-based trust region optimization algorithm outperformed conventional fitting methods in estimating kinetic parameters of hepatocellular carcinoma from ...
A deep neural network-based trust region optimization algorithm outperformed conventional fitting methods in estimating kinetic parameters of hepatocellular carcinoma from ...
A narrative review links iron-dependent ferroptosis to tumor progression and therapy response in digestive system cancers, while flagging major barriers ...
A multi-phase MRI deep learning model combined with clinical predictors differentiated hepatocellular carcinoma from mass-forming intrahepatic cholangiocarcinoma with AUCs of ...
A new review finds edible source-derived exosome-like nanoparticles show preclinical promise against hepatocellular carcinoma, but clinical translation faces major hurdles.
A new study reports that the protein STOML2 is overexpressed in hepatocellular carcinoma and that silencing it in a liver ...
A new hypothesis-generating review proposes that the adult liver cancer blood marker AKR1B10 may also hold diagnostic value for pediatric ...
A new preclinical study reports that the plant-derived saponin esculentoside A suppresses hepatocellular carcinoma growth and stemness in cells and ...
Japanese clinicians report the first documented case of invasive Bacteroides zoogleoformans infection, identified by 16S rRNA sequencing after routine methods ...
A meta-analysis finds that each additional point on an MRI-derived functional liver imaging score was associated with 45 percent lower ...
A new review maps how disrupted iron homeostasis and ferroptosis drive liver disease, from hereditary hemochromatosis to hepatocellular carcinoma, and ...
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© 2025 Scienmag - Science Magazine