Results 161 to 170 of about 9,602,001 (284)
Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim +7 more
wiley +1 more source
Remaining useful life prediction method based on gated dilation causal convolution. [PDF]
He J, Sun W, Zhang C.
europepmc +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Physics-Informed Monotonic Conformer for Remaining Useful Life Prediction of Hydraulic Systems. [PDF]
He X +6 more
europepmc +1 more source
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
wiley +1 more source
From Signals to Remaining Useful Life: Multimodal Sensor Fusion for Fault Diagnosis and Prognostics-Methods, Pitfalls, and Reporting Standards. [PDF]
Pană CF +4 more
europepmc +1 more source
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico +5 more
wiley +1 more source
A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
Tang D.
europepmc +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
A physics-informed multi-modal transformer framework for predictive maintenance and remaining useful life estimation of electrical submersible pumps. [PDF]
Khalili Y, Ahmadi M, Moraveji MK.
europepmc +1 more source

