Results 161 to 170 of about 2,936,368 (282)
Newly Proposed Method With Noise-Reduction and Smoothing for Computational Fluid Dynamics Using Low-Resolution Medical Images. [PDF]
Yanagita Y +7 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
Interactive AI annotation of medical images in a virtual reality environment. [PDF]
Orsmaa L +9 more
europepmc +1 more source
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Shape modeling of longitudinal medical images: from diffeomorphic metric mapping to deep learning. [PDF]
Tay E, Tümer N, Zadpoor AA.
europepmc +1 more source
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
DGA-Net: a dual-branch group aggregation network for liver tumor segmentation in medical images. [PDF]
Zhu L, Liu S.
europepmc +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
A watermarking framework for encrypted medical images via HC chaotic system and deep learning. [PDF]
Liu Z, Li J, Nawaz SA.
europepmc +1 more source

