Woa-wtconv-kanformer for long term time series forecasting. [PDF]
Ling Ming M +3 more
europepmc +1 more source
Prediction of the Behavior for Polymer Blends Using Thermodynamic Model
Chasib KF
openalex +1 more source
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat +8 more
wiley +1 more source
A Natural Gas Energy Metering Method Based on Density-Sound Velocity Correlation. [PDF]
Zhang B +6 more
europepmc +1 more source
Targeting p38α in cancer: challenges, opportunities, and emerging strategies
p38α normally regulates cellular stress responses and homeostasis and suppresses malignant transformation. In cancer, however, p38α is co‐opted to drive context‐dependent proliferation and dissemination. p38α also supports key functions in cells of the tumor microenvironment, including fibroblasts, myeloid cells, and T lymphocytes.
Angel R. Nebreda
wiley +1 more source
Machine Learning Model for Sepsis Prediction in Prolonged and Chronic Critical Illness: Development and Validation Using Retrospective Real-World ICU Data. [PDF]
Yadgarov MY +7 more
europepmc +1 more source
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source
A data analytics-driven approach to backorder prediction using federated machine learning in industrial supply chains. [PDF]
Sattar A +5 more
europepmc +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Uncertainty-aware machine learning to predict non-cancer human toxicity for the global chemicals market. [PDF]
von Borries K +5 more
europepmc +1 more source

