Results 111 to 120 of about 8,230,666 (286)

Castration‐resistant prostate cancer cells are addicted to the high activity of cyclin‐dependent kinase 2

open access: yesMolecular Oncology, EarlyView.
We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee   +3 more
wiley   +1 more source

Arginine methylation as a regulatory ratchet in cancer: From substrate selection to malignant‐state stabilization

open access: yesMolecular Oncology, EarlyView.
Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley   +1 more source

Image Colorization with Residual Attention U-Net

open access: yesElectronics
Image colorization aims to add plausible colors to grayscale images. However, existing methods often suffer from detail loss, dull colors, and unrealistic results. To address these issues, we propose a novel image colorization method based on a residual attention U-Net.
Jun Yang, Donghui Zhang, Fan Wu, Le Yang
openaire   +1 more source

U-net weights for brain segmentation

open access: yes, 2018
U-net weights for U ...
Brian Avants (418551)   +1 more
core   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
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

Predictive and prognostic biomarkers of Bacillus Calmette‐Guérin therapy failure in bladder cancer patients: A systematic review

open access: yesMolecular Oncology, EarlyView.
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

Enhanced Skin Lesion Segmentation via Attentive Reverse-Attention U-Net

open access: yesSymmetry
Accurate identification and segmentation of skin lesions are essential for the early diagnosis of skin cancer. Symmetry is an important diagnostic cue in clinical practice, as malignant lesions often exhibit asymmetric patterns in shape, color, and texture.
Toptaş, Buket, Toptaş, Buket
openaire   +2 more sources

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

open access: yesMolecular Oncology, EarlyView.
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

Lung Segmentation with Lightweight Convolutional Attention Residual U-Net

open access: yesDiagnostics
Background: Examining chest radiograph images (CXR) is an intricate and time-consuming process, sometimes requiring the identification of many anomalies at the same time.
Meftahul Jannat   +7 more
doaj   +1 more source

Brain Tumor Segmentation Using U-Net Enhanced With Attention

open access: yes
Medical image analysis and processing are critical components of clinical applications and scientific research. Deep learning has revolutionized medical image analysis by enabling the identification of morphological or texture patterns from data.
Li, Shuyi
core   +1 more source

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