Results 201 to 210 of about 9,324 (243)
A spatially informed matrix normal model for gene co-expression analysis in spatial transcriptomics studies. [PDF]
Nucleic Acids ResTan C, Ma Y.
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Her4 in gastric adenocarcinoma and its association with molecular prognostic markers Ki-67 proliferation index and p53 mutational status in Saudis: A study at a tertiary care hospital in Eastern Saudi Arabia. [PDF]
J Family Community MedAhmed A.
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Prediction of remaining useful life for electronic equipment based on online PINN. [PDF]
Sci RepHan F, Mo B.
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Histological severity and hepatic outcomes in patients with metabolic dysfunction-associated steatotic liver disease and discrepant FIB-4 and liver stiffness measurement. [PDF]
Clin Mol HepatolRabbat J +40 more
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Accuracy of site versus core laboratory interpretations of right heart catheterization hemodynamics. [PDF]
Am Heart JCantu-Martinez O +7 more
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2022
Abstract This chapter describes the prognostication of heart failure. Heart failure is a frequently progressive condition, although after commencing treatment patients usually reach a period of clinical ‘stability’, the duration of which varies between individuals.
Joanne Simpson, Roy S. Gardner
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Abstract This chapter describes the prognostication of heart failure. Heart failure is a frequently progressive condition, although after commencing treatment patients usually reach a period of clinical ‘stability’, the duration of which varies between individuals.
Joanne Simpson, Roy S. Gardner
openaire +2 more sources
Dermatologic Clinics, 2002
The American Joint Committee on Cancer has recently revised the staging system for melanoma. In this article, prognostic factors for melanoma are discussed in order of significance as outlined by the new staging system. In addition, other historically relevant prognostic factors are reviewed.
Gary S, Rogers, Stephanie M, Braun
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The American Joint Committee on Cancer has recently revised the staging system for melanoma. In this article, prognostic factors for melanoma are discussed in order of significance as outlined by the new staging system. In addition, other historically relevant prognostic factors are reviewed.
Gary S, Rogers, Stephanie M, Braun
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Hematology/Oncology Clinics of North America, 2004
The best predictive models of today can predict no more than 50% of the natural variability of the disease, despite the sophisticated mathematic analyses and the dozens of variables assessed. Clearly, a universe of still unknown prognostic factors remains to be discovered.
Gianfranco, Buccheri, Domenico, Ferrigno
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The best predictive models of today can predict no more than 50% of the natural variability of the disease, despite the sophisticated mathematic analyses and the dozens of variables assessed. Clearly, a universe of still unknown prognostic factors remains to be discovered.
Gianfranco, Buccheri, Domenico, Ferrigno
openaire +2 more sources