Results 221 to 230 of about 8,218,767 (336)

Quantitative proteomic analysis of pathological and physiological ovarian aging: model evaluation, molecular mechanisms, and identification of early biomarkers and therapeutic targets. [PDF]

J Ovarian Res
Bai M, Zhang L, Wu W, Weng R, Wu H, Li Y, Ling S, Zheng Y.   +7 more
europepmc   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Evaluating GPT-4 Responses on Scars or Keloids for Patient Education: Large Language Model Evaluation Study.

JMIR Med Inform
Rao M, Xiujun T, Haoyu W.
europepmc   +1 more source

Generative AI and large language model evaluation of kidney donation websites: Benchmarking health literacy, sentiment, and digital engagement to optimize donor recruitment. [PDF]

Digit Health
Bizer B, Garcia Valencia O, Arriola-Montenegro J, Thongprayoon C, Miao J, Craici IM, Cheungpasitporn W.   +6 more
europepmc   +1 more source

Evaluation of Estimation Accuracy of Sequential Data Assimilation Methods for Phase-field Models

, 2019
Yuri Maeda, Kaori SHOJI, Akinori Yamanaka   +2 more
openalex   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Disease Modeling and External Model Evaluation Through Clinical Data Sharing Platform for HR+/HER2- Breast Cancer. [PDF]

CPT Pharmacometrics Syst Pharmacol
Yoshida K, Bruno R, Chanu P.
europepmc   +1 more source

RIPK4 function interferes with melanoma cell adhesion and metastasis

Molecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski, Sławomir Lasota, Ewelina Madej, Anna A. Brożyna, Małgorzata Szczygieł, Agnieszka Harazin‐Lechowska, Jan Czerbniak, Janusz Rys, Jaroslaw Czyz, Agnieszka Wolnicka‐Glubisz   +9 more
wiley   +1 more source

Gas-Phase Water-Soluble Organic Carbon: CMAQ Model Evaluation in Baltimore County. [PDF]

ACS Earth Space Chem
Smith EN, Baker KR, El-Sayed MMH, Hennigan CJ, Rosanka S, Carlton AG.   +5 more
europepmc   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source