Results 101 to 110 of about 33,949 (297)
Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Forecasting age-related changes in breast cancer mortality among white and black US women: A functional approach [PDF]
The disparity in breast cancer mortality rates among white and black US women is widening with higher mortality rates among black women. We apply functional time series models on age-specific breast cancer mortality rates for each group of women, and ...
Farah Yasmeen +2 more
core
Mortality Forecasting Using Variational Inference
Journal of ForecastingABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the ...
Patrik Andersson, Mathias Lindholm
openaire +2 more sources
Molecular Oncology, EarlyView.Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
Autoregressive models for mortality forecast.
, 2016 Autoregressive Models for Mortality Forecast Recently many countries pay a lot of attention to mortality forecasting, because of high longevity risk.
Šiškina, Natalja,
core
Molecular Oncology, EarlyView.Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou +12 more
wiley +1 more source
Forecasting sex differences in mortality in high income nations [PDF]
To address the question of whether the sex differential in mortality will in the future rise, fall, or stay the same, this study uses the relative smoking prevalence among males and females to forecast future changes in relative smoking-attributed ...
Fred Pampel
core
Mortality forecasting with ensembles and combinations
, 2023 Many alternative approaches for selecting mortality models and calibration periods have been proposed. The usual practice is to base forecasts on a single mortality model se- lected using in-sample goodness-of-fit measures and an arbitrarily chosen calibration period.
openaire +2 more sources
Molecular Oncology, EarlyView.Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata +10 more
wiley +1 more source
Forecasting Mortality Rate Using a Neural Network with Fuzzy Inference System [PDF]
Various methods have been developed to improve mortality forecasts. The authors proposed a neuro-fuzzy model to forecast the mortality. The forecasting of mortality is curried out by an ANFIS model which uses a first order Sugeno-type FIS.
Camelia Ioana Ucenic +4 more
core