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ICG-PDR has proven to predict mortality in critically ill patients comparable to the SAPS II score [[7]], as well as to predict complications in liver cirrhosis patients [[8]] and posthepatectomy liver failure [[9]].
It has proven to predict outcome in critically ill [ 21] and septic patients [ 22], but its relevance in liver transplantation is elusive [ 23, 24].
ICG-PDR has proven to predict mortality in critically ill patients comparable to the SAPS II score [[ 7]], as well as to predict complications in liver cirrhosis patients [[ 8]] and posthepatectomy liver failure [[ 9]].
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The tested genetic polymorphisms have proven to predict efficacy successfully over the conventional treatment approach.
This system, which models the low-estrogen state in postmenopausal women, has proven to successfully predict some HT effectiveness in such women with breast cancer.
The current approach has proven to be able to predict the friction coefficient over a wide range of loading conditions.
Besides genes and pathways already described in the literature, SID1.0 has proven to useful for predicting other genes involved in prostate carcinoma.
By comparing the predicted results with the experimental data, the proposed model has proven to be capable of predicting failure strength and load deflection relations of notched laminated composites.
Nevertheless, the proposed method has proven to be capable of predicting the relative resonance effect, and this is sufficient to be used as a complimentary assessment to conventional empirical catastrophe modeling.
Currently none of the aspects of EGFR status examined here has proven to be informative in predicting response to treatment with these monoclonal antibodies in other cancers [ 18- 20, 36].
ABA has proven to be a good tool to predict overburden quality that allows the application of prevention procedures to alleviate post-mining water and soil quality problems.
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CEO of Professional Science Editing for Scientists @ prosciediting.com