Results 311 to 320 of about 22,680,672 (365)
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair+17 more
wiley +1 more source
Incorporation of explainable artificial intelligence in ensemble machine learning-driven pancreatic cancer diagnosis. [PDF]
Almisned FA+3 more
europepmc +1 more source
On the Spatial Distribution of Galaxies: a Specific Model.
Jerzy Neyman+2 more
openalex +1 more source
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes+20 more
wiley +1 more source
Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images. [PDF]
D N S, Pai RM, Bhat SN, Pai MMM.
europepmc +1 more source
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser+11 more
wiley +1 more source
A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks. [PDF]
Jeong B, Lee YJ, Han CE.
europepmc +1 more source
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu+11 more
wiley +1 more source
Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets. [PDF]
Ganie SM, Pramanik PKD, Zhao Z.
europepmc +1 more source
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau+11 more
wiley +1 more source