Results 261 to 270 of about 755,388 (347)
[Retracted] Suppression of SIK1 by miR‑141 in human ovarian cancer cell lines and tissues. [PDF]
Chen JL, Chen F, Zhang TT, Liu NF.
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Racial disparities in ovarian cancer survival transcend the somatic mutational landscape. [PDF]
Morgan RD, Burghel GJ.
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Pulmonary Tumor Thrombotic Microangiopathy in Platinum-Resistant Ovarian Cancer - A Case Report. [PDF]
Lim SS, Wong SW.
europepmc +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
The role of Lymphadenectomy in early-stage mucinous Ovarian Cancer. [PDF]
Karatasli V +3 more
europepmc +1 more source
Ovarian Cancer: Multi-Omics Data Integration [PDF]
Anna A. Kliuchnikova +9 more
openalex +1 more source
Identification of Compound Heterozygous CYP11A1 Variants via Reanalysis of Clinical Sequencing Data
ABSTRACT A molecular diagnosis is currently achievable in approximately 50% of patients assessed by clinical geneticists at tertiary care centres. Next‐Generation Sequencing Panels contain a defined group of genes associated with a clinically defined set of phenotypes.
Ana Acosta Bedón +10 more
wiley +1 more source

