Results 291 to 300 of about 30,979,719 (362)

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

FEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan, Bethany C. Guerra, Selina Uranga, Jessica M. Cardin, Steven E. Riechman, Mariana Janini Gomes, James D. Fluckey   +6 more
wiley   +1 more source

Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models? [PDF]

J Int Med Res
Piebpien P, Tansawet A, Pattanaprateep O, Pattanateepapon A, Wilasrusmee C, Mckay GJ, Attia J, Thakkinstian A.   +7 more
europepmc   +1 more source

Asymptotic properties of a class of statistical models in software reliability

, 1992
M.C. Pul
openalex   +1 more source

Dietary nitrate and nitrite protect against doxorubicin‐induced cardiac fibrosis and oxidative protein damage in tumor‐bearing mice

FEBS Open Bio, EarlyView.
Chemotherapies such as doxorubicin can have toxic effects on healthy cardiovascular/heart tissue. Following up on a doxorubicin toxicity study in mice without tumors where nitrate water was cardioprotective (lessened toxicity), this study with tumor‐bearing mice undergoing doxorubicin treatment showed no negative effect of nitrate and nitrite on drug ...
Rama D. Yammani, Xiaofei Chen, Nildris Cruz‐Diaz, Xuewei Zhu, Swati Basu, Daniel B. Kim‐Shapiro, David R. Soto‐Pantoja, Leslie B. Poole   +7 more
wiley   +1 more source

Statistical Models for High-Risk Intestinal Metaplasia with DNA Methylation Profiling. [PDF]

Epigenomes
Wang T, Huang Y, Yang J.
europepmc   +1 more source

Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups. [PDF]

Eur Radiol
Piskorski L, Debic M, von Stackelberg O, Schlamp K, Welzel L, Weinheimer O, Peters AA, Wielpütz MO, Frauenfelder T, Kauczor HU, Heußel CP, Kroschke J.   +11 more
europepmc   +1 more source

Supervised machine learning statistical models for visual outcome prediction in macular hole surgery: a single-surgeon, standardized surgery study. [PDF]

Int J Retina Vitreous
Godani K, Prabhu V, Gandhi P, Choudhary A, Darade S, Kathare R, Hande P, Venkatesh R.   +7 more
europepmc   +1 more source

Comparing performances of different statistical models and multiple threshold methods in a nested association mapping population of wheat. [PDF]

Front Plant Sci
Sandhu KS, Burke AB, Merrick LF, Pumphrey MO, Carter AH.   +4 more
europepmc   +1 more source

Statistical modeling of mechanical bearing life testing

, 2015
Sébastien Blachère, M. Bootsma, A. Di Bucchianico, M.S. Keane, Xinru Li, A. Roccaverde, C. Spitoni, Yan Dong   +7 more
openalex   +1 more source