Results 111 to 120 of about 7,974,169 (304)

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular 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

Development and validation of a red-edge-based index for improving satellite detection of algal blooms in inland waters

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
The increasing frequency of freshwater algal blooms threatens aquatic ecosystems globally. While remote sensing algorithms are widely used for bloom detection, conventional methods frequently exhibit degraded performance under optically complex ...
Jianzhong Li   +11 more
doaj   +1 more source

Lipoprotein metabolism indicators improve cardiovascular risk prediction

open access: yes, 2014
Background: Cardiovascular disease risk increases when lipoprotein metabolism is dysfunctional. We have developed a computational model able to derive indicators of lipoprotein production, lipolysis, and uptake processes from a single lipoprotein profile
Ordovás, J.M.   +7 more
core  

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

open access: yesMolecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner   +14 more
wiley   +1 more source

AI-Enabled conditional nonlinear optimal perturbation enhances ensemble prediction of extreme El Niño events

open access: yesnpj Climate and Atmospheric Science
Data-driven deep learning (DL) models often underestimate the intensity of extreme weather and climate events due to the scarcity of extreme samples in training datasets and the smoothing effects of gradient-based optimization.
Lu Zhou, Rong-Hua Zhang, Lingjiang Tao
doaj   +1 more source

Dynamic Assessment of Population Exposure to Urban Flooding Considering Building Characteristics

open access: yesLand
Under intensifying climate change impacts, accurate quantification of population exposure to urban flooding has become an imperative component of risk mitigation strategies, particularly when considering the dynamic nature of human mobility patterns ...
Shaonan Zhu   +5 more
doaj   +1 more source

Polygenic Risk Scores: Genomes to Risk Prediction

open access: yesClinical Chemistry, 2023
Tristan J Hayeck   +5 more
openaire   +3 more sources

Incorporating prediction and estimation risk in point-in-time credit portfolio models [PDF]

open access: yes
In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted
Wildenauer, Nicole   +3 more
core  

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

open access: yesMolecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary   +1 more
wiley   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

Home - About - Disclaimer - Privacy