Results 111 to 120 of about 1,714,069 (326)

Screening for lung cancer: A systematic review of overdiagnosis and its implications

Molecular Oncology, EarlyView.
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz, Laura de la Torre‐Perez, David R Baldwin, Carlijn van der Aalst, Mangesh Thorat, David Ritchie, Andre L Carvalho, Carolina Espina, Ivan Solà, Carlos Canelo‐Aybar, Moira Magdalena Pissinis, Pablo Alonso‐Coello, Ana Carolina Pereira Nunes Pinto   +12 more
wiley   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source

Evaluating two statistical methods for handling dropout impact in repeated measures data: a comparative study on missing at random assumption

Frontiers in Applied Mathematics and Statistics
IntroductionDropout is a major source of missing data in repeated measures studies and can bias statistical inference if not handled properly. This study compares the performance of two common methods for addressing dropout under the missing at random ...
Mohyaldein Salih, Ali Satty, Henry Mwambi   +2 more
doaj   +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

Evolutionary Spectrum for Random Field and Missing Observations [PDF]

, 2012
Rachid Sabre
openalex   +1 more source

Improving Missing Data Imputation with Deep Generative Models

, 2019
Datasets with missing values are very common on industry applications, and they can have a negative impact on machine learning models. Recent studies introduced solutions to the problem of imputing missing values based on deep generative models. Previous
Camino, Ramiro D., Hammerschmidt, Christian A., State, Radu   +2 more
core  

Random Indicator Imputation for Missing Not At Random Data

Imputation methods for dealing with incomplete data typically assume that the missingness mechanism is at random (MAR). These methods can also be applied to missing not at random (MNAR) situations, where the user specifies some adjustment parameters that describe the degree of departure from MAR.
Jolani, Shahab, van Buuren, Stef
openaire   +3 more sources

Class IIa HDACs forced degradation allows resensitization of oxaliplatin‐resistant FBXW7‐mutated colorectal cancer

Molecular Oncology, EarlyView.
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto, Nicolò Gualandi, Ylenia Cortolezzis, Raffaella Picco, Monica Colitti, Francesca D'Este, Mariachiara Gani, Wayne W. Hancock, Giovanni Terrosu, Cristina Degrassi, Francesca Agostini, Claudio Brancolini, Luigi E. Xodo, Eros Di Giorgio   +13 more
wiley   +1 more source

Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias. [PDF]

Front Epidemiol, 2023
Curnow E, Tilling K, Heron JE, Cornish RP, Carpenter JR.   +4 more
europepmc   +1 more source

Estimation in Closed Capture–Recapture Models when Covariates Are Missing at Random [PDF]

, 2016
Shen‐Ming Lee, Wen‐Han Hwang, Jean de Dieu Tapsoba   +2 more
openalex   +1 more source