Results 231 to 240 of about 18,128,520 (394)

Diagnostic tests: how to estimate the positive predictive value.

Neuro-Oncology Practice, 2015
A. Molinaro
semanticscholar   +1 more source

Survivin and Aurora Kinase A control cell fate decisions during mitosis

Molecular Oncology, EarlyView.
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir, Shalitha Wickrama Arachchige, Sally P. Wheatley   +2 more
wiley   +1 more source

The predictive value of the lactate dehydrogenase-to-albumin ratio for mortality in patients with septic shock. [PDF]

Medicine (Baltimore)
Wu YY, Yao L.
europepmc   +1 more source

ANALYSIS OF MACHINE LEARNING ALGORITHM PERFORMANCE IN PREDICTING ULTISOL SOIL NUTRIENTS BASED ON IMPEDANCE VALUES

Dwi Rahmah Amanda, Samsidar Samsidar, Jesi Pebralia   +2 more
openalex   +1 more source

CDK11 inhibition induces cytoplasmic p21WAF1 splice variant by p53 stabilisation and SF3B1 inactivation

Molecular Oncology, EarlyView.
CDK11 inhibition stabilises the tumour suppressor p53 and triggers the production of an alternative p21WAF1 splice variant p21L, through the inactivation of the spliceosomal protein SF3B1. Unlike the canonical p21WAF1 protein, p21L is localised in the cytoplasm and has reduced cell cycle‐blocking activity.
Radovan Krejcir, Lukasz Arcimowicz, Lucia Martinkova, Vaclav Hrabal, Filip Zavadil Kokas, Tomas Henek, Martina Kucerikova, Ondrej Bonczek, Pavlina Zatloukalova, Lenka Hernychova, Philip J. Coates, Borivoj Vojtesek, David P. Lane   +12 more
wiley   +1 more source

International classification of diseases codes have low positive predictive value for neonatal morbidities. [PDF]

J Perinatol
Hendrickson JE, Birch RJ, Sola-Visner MC, Branchford BR, Chen X, Custer BS, Desimone RA, Bougie DW, Edwards EM, Goel R, Gottschall J, Hod EA, Moayeri M, Roubinian NH, Karam O, Stone EF, Luban NLC, Josephson CD, Patel RM, REDS-IV-P.   +19 more
europepmc   +1 more source

XGBOOST MACHINE LEARNING TO IDENTIFY PREDICTIVE VALUES OF CARDIOMETABOLIC RISK FOR COGNITIVE DECLINE AND MORTALITY

Longjian Liu, Saishi Cui, Ruifeng Wang, Kaidi Xu, Howard J. Eisen   +4 more
openalex   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

Predictive value of the HEART score for coronary lesions based on the SYNTAX score in patients with non-ST-elevation acute coronary syndrome

Phan Thai Hao, Viva Tai
openalex   +1 more source

Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA

Molecular Oncology, EarlyView.
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson, Anders Lade Nielsen, Boe Sandahl Sorensen   +2 more
wiley   +1 more source