Results 191 to 200 of about 1,504,554 (325)

TOPK Inhibition Promotes Anti‐Tumor Immunity Via eIF4F Complex Mediated STAT1 Translation in Gastric Cancer

open access: yesAdvanced Science, EarlyView.
This study identifies TOPK as a dual‐function target in gastric cancer: it drives tumor cell proliferation and migration, and under IFN‐γ stimulation, phosphorylates eIF4F complex component eIF4A1 to enhance STAT1 mRNA translation, thereby promoting PD‐L1/IDO1‐mediated tumor immunometabolic evasion.
Junbing Chen   +16 more
wiley   +1 more source

Response to De Paepe et al. [PDF]

open access: yesPain Rep
Taylor RS, Duarte RV.
europepmc   +1 more source

Biomimetic Multiscale‐Structured Biomass Graphene/Polyurethane Sponge Composite for Flexible Pressure Sensors and Intelligent Cushioning Materials

open access: yesAdvanced Science, EarlyView.
In this study, a multifunctional conductive sponge composite (MAPU) is developed using a biomimetic, hierarchical construction strategy emulating the growth process of natural wood. This approach involved integrating biomass‐derived graphitic nanoflakes, synthesized from luffa vine (LVGN), into a polyurethane (PU) sponge matrix.
Runmin Xu   +9 more
wiley   +1 more source

Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction

open access: yesAdvanced Science, EarlyView.
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie   +9 more
wiley   +1 more source

Towards Holistic Prompt Craft [PDF]

open access: gold
Joseph Lindley, Roger Whitham
openalex   +1 more source

MR‐DELTAnet: A Longitudinal MRI‐Transformer Model Predicting Pathological Complete Response and Revealing Immune Microenvironment via scRNA‐seq in Locally Advanced Rectal Cancer

open access: yesAdvanced Science, EarlyView.
The MR‐DELTAnet model utilizes longitudinal MRI to predict treatment response after neoadjuvant chemoradiotherapy in locally rectal cancer patients, accurately identifying patients likely to achieve pathological complete response for personalized management.
Wuteng Cao   +14 more
wiley   +1 more source

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