Results 31 to 40 of about 1,171,311 (279)

Learning curve for radical retropubic prostatectomy

International Brazilian Journal of Urology, 2011
PURPOSE: The learning curve is a period in which the surgical procedure is performed with difficulty and slowness, leading to a higher risk of complications and reduced effectiveness due the surgeon's inexperience.
Fernando J. A. Saito, Marcos F. Dall'Oglio, Gustavo X. Ebaid, Homero Bruschini, Daher C. Chade, Miguel Srougi   +5 more
doaj   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Learning curve for peroral endoscopic myotomy

Endoscopy International Open, 2016
Background and study aims: Although peroral endoscopic myotomy (POEM) is being performed more frequently, the learning curve for gastroenterologists performing the procedure has not been well studied.
Mohamad El Zein, Vivek Kumbhari, Saowanee Ngamruengphong, Kathryn A. Carson, Ellen Stein, Alan Tieu, Yamile Chaveze, Amr Ismail, Sameer Dhalla, John Clarke, Anthony Kalloo, Marcia Irene Canto, Mouen A. Khashab   +12 more
doaj   +1 more source

Stochastic gain in population dynamics

, 2004
We introduce an extension of the usual replicator dynamics to adaptive learning rates. We show that a population with a dynamic learning rate can gain an increased average payoff in transient phases and can also exploit external noise, leading the system
A. Cabrales, Arne Traulsen, C. A. Holt, C. T. Bergstrom, C. W. Gardiner, D. Foster, D. Fudenberg, H. Gintis, H. G. Schuster, Heinz Georg Schuster, J. Hofbauer, J. Hofbauer, J. M. Smith, J. v. Neumann, J. W. Weibull, M. A. Nowak, M. A. Nowak, P. Schuster, R. Axelrod, Torsten Röhl, Y. Sato   +20 more
core   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

The Sex Inclusive Research Framework to address sex bias in preclinical research proposals

Nature Communications
An interactive Sex Inclusive Research Framework (SIRF) supports the evaluation of in vivo and ex vivo research proposals to address the risk of sex bias in preclinical research.
Natasha A. Karp, Manuel Berdoy, Kelly Gray, Lilian Hunt, Maggy Jennings, Angela Kerton, Matt Leach, Jordi L. Tremoleda, Jon Gledhill, Esther J. Pearl, Nathalie Percie du Sert, Benjamin Phillips, Penny S. Reynolds, Kathy Ryder, S. Clare Stanford, Sara Wells, Lucy Whitfield   +16 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Gaussian Process Regression with Mismatched Models [PDF]

, 2001
Learning curves for Gaussian process regression are well understood when the `student' model happens to match the `teacher' (true data generation process). I derive approximations to the learning curves for the more generic case of mismatched models, and
Sollich, Peter
core   +1 more source

Reconciling modern machine learning practice and the bias-variance trade-off

, 2019
Breakthroughs in machine learning are rapidly changing science and society, yet our fundamental understanding of this technology has lagged far behind.
Belkin, Mikhail, Hsu, Daniel, Ma, Siyuan, Mandal, Soumik   +3 more
core   +1 more source