Results 101 to 110 of about 3,906,069 (259)

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Long Term Time-Lapse Imaging of Geographic Atrophy: A Pilot Study. [PDF]

Front Med (Lausanne), 2022
Paques M, Norberg N, Chaumette C, Sennlaub F, Rossi E, Borella Y, Grieve K.   +6 more
europepmc   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, Volume 20, Issue 6, Page 1494-1512, June 2026.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Short-Term Forecasting of Non-Stationary Time Series

Engineering Proceedings
Forecasting climate events is crucial for mitigating and managing risks related to climate change; however, the problem of non-stationarity in time series (NTS) arises, making it difficult to capture and model the underlying trends.
Amir Aieb, Antonio Liotta, Alexander Jacob, Muhammad Azfar Yaqub   +3 more
doaj   +1 more source

Long-term time trends in reactivated herpes simplex infections and treatment in Sweden. [PDF]

BMC Infect Dis, 2022
Lopatko Lindman K, Lockman-Lundgren J, Weidung B, Olsson J, Elgh F, Lövheim H.   +5 more
europepmc   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, Volume 20, Issue 6, Page 1473-1493, June 2026.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

The time validity of Philip's two‐term infiltration equation: An elusive theoretical quantity?

Vadose Zone Journal
The two‐term infiltration equation I(t)=St+At is commonly used to determine the sorptivity, S (LT−1/2), and product, A=cKs (LT−1), of the dimensionless multiple c and saturated soil hydraulic conductivity Ks (LT−1) from cumulative vertical infiltration ...
Jasper A. Vrugt, Jan W. Hopmans, Yifu Gao, Mehdi Rahmati, Jan Vanderborght, Harry Vereecken   +5 more
doaj   +1 more source

xLSTMTime: Long-Term Time Series Forecasting with xLSTM

AI
In recent years, transformer-based models have gained prominence in multivariate long-term time series forecasting (LTSF), demonstrating significant advancements despite facing challenges such as high computational demands, difficulty in capturing ...
Musleh Alharthi, Ausif Mahmood
doaj   +1 more source

Development of a long-term time-weighted exposure metric that accounts for missing data in the Seychelles Child Development Study. [PDF]

Neurotoxicology, 2022
Thurston SW, Harrington D, Mruzek DW, Shamlaye C, Myers GJ, van Wijngaarden E.   +5 more
europepmc   +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