Digestion of micellar casein in duodenum cannulated pigs. Correlation between in vitro simulated gastric digestion and in vivo data.
Sign Up to like & getrecommendations! Published in 2020 at "Food chemistry"
DOI: 10.1016/j.foodchem.2020.128424
Abstract: Correlation and validation of the results of simulated gastrointestinal digestion of food compounds towards in vivo data is essential. The objective of this work was to monitor the digestion of milk micellar casein in the… read more here.
Keywords: vivo data; duodenum; digestion; correlation ... See more keywords
Combining In Vivo Data with In Silico Predictions for Modeling Hepatic Steatosis by Using Stratified Bagging and Conformal Prediction
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Research in Toxicology"
DOI: 10.1021/acs.chemrestox.0c00511
Abstract: Hepatic steatosis (fatty liver) is a severe liver disease induced by the excessive accumulation of fatty acids in hepatocytes. In this study, we developed reliable in silico models for predicting hepatic steatosis on the basis… read more here.
Keywords: conformal prediction; hepatic steatosis; vivo data; toxicology ... See more keywords
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2021.3107198
Abstract: Conventional delay-and-sum (DAS) beamforming is highly efficient but also suffers from various sources of image degradation. Several adaptive beamformers have been proposed to address this problem, including more recently proposed deep learning methods. With deep… read more here.
Keywords: vivo data; domain shift; unlabeled vivo; domain ... See more keywords