Results 81 to 90 of about 12,794 (158)

Artificial Intelligence and Virtual Screening to Identify Small Molecules Inhibiting Transglutaminase 2 for Investigation and Treatment of Breast Cancer

ChemBioChem, Volume 27, Issue 18, 28 September 2026.
Artificial Intelligence (AI)‐guided screening of nearly 10 million molecules hit the bull’s‐eye: G11, a new nonpeptidic inhibitor of transglutaminase 2. A stepwise path from in silico ranking to cell and biochemical assays identified G11 as the top hit. It induced apoptosis in transglutaminase 2 (TG2)‐rich breast cancer cells and inhibited purified TG2,
Carlo M. Bergamini, Niel M. Henriksen, Brianna Ryan, Taylor A. Prince, Anna Terrazzan, Pietro Ancona, Cristina Zuccato, Gianluca Aguiari, Valentina Rosta, Jeffrey W. Keillor, Alessandro Trentini, Nicoletta Bianchi   +11 more
wiley   +1 more source

Causal Isotonic Regression. [PDF]

J R Stat Soc Series B Stat Methodol, 2020
Westling T, Gilbert P, Carone M.
europepmc   +1 more source

Sulfation‐Tunable Peptide‐Glycosaminoglycan Hydrogels for Hematopoietic Stem and Progenitor Cell Expansion

Advanced Functional Materials, Volume 36, Issue 73, 10 September 2026.
Co‐assembly of rationally designed glycosaminoglycan‐binding peptides with sulfated glycosaminoglycans yields supramolecular hydrogels with tunable mechanics and matrix‐mediated cytokine retention. The glycosaminoglycans thereby act as cofactors, driving a coil‐to‐β‐sheet transition that triggers gelation.
Shirel Veretnik, Prannoy Seth, Maximilian Fusenig, Jens Friedrichs, Nicole Fertala, Passant Atallah, Uwe Freudenberg, Ayala Lampel, Carsten Werner   +8 more
wiley   +1 more source

Di(2‐Ethylhexyl) Phthalate Exposure and Risk of Diabetic Kidney Disease: Epidemiological Association and Mechanistic Insights

Diabetes/Metabolism Research and Reviews, Volume 42, Issue 6, September 2026.
ABSTRACT Objective This study aims to explore the association between exposure to di‐(2‐ethylhexyl) phthalate (DEHP) and diabetic kidney disease (DKD), and to elucidate its potential molecular mechanisms. The study findings provide scientific evidence for the prevention and control of environmental risk factors related to DKD.
Dapeng Yin, Yan Li, Wei Wu, Xiaojuan Wang, Junhua He, Yikun Zhu, Jin Li   +6 more
wiley   +1 more source

One‐Year Results of Accelerated Transepithelial Corneal Cross‐Linking for Progressive Keratoconus: A Prospective Interventional Study

Eye &ENT Research, Volume 3, Issue 3, Page 168-174, September 2026.
ABSTRACT Background Keratoconus is a progressive corneal ectatic disorder. Accelerated transepithelial corneal cross‐linking (ATE‐CXL) aims to halt progression while preserving the epithelium, but evidence on its 12‐month efficacy requires further evaluation.
Rafea Allawi Fayyadh, Omar Salim Mahmood, Aktham Badia Abdulelah, Husam Abu Dawood, Hashem Abu Serhan   +4 more
wiley   +1 more source

Correcting an estimator of a multivariate monotone function with isotonic regression. [PDF]

Electron J Stat, 2020
Westling T, van der Laan MJ, Carone M.
europepmc   +1 more source

Prenatal Stress Induced by Maternal Immune Activation Disrupts GABAergic Inhibition and Mossy Fiber Plasticity in the Rat Dentate Gyrus‐CA3 Circuit

Hippocampus, Volume 36, Issue 5, September 2026.
ABSTRACT Viral infections during critical periods of pregnancy trigger inflammatory responses that alter offspring brain development and behavior, resulting in psychiatric disorder‐associated phenotypes. This condition is commonly referred to as prenatal stress induced by maternal immune activation (MIA).
Johaly Anguiano‐Buenfil, Isabel Sollozo‐Dupont, Luis A. Márquez, Angelica Zepeda, Emilio J. Galván   +4 more
wiley   +1 more source

Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum

Scientific Reports
To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fluid leakage (CSFL) after posterior decompression for thoracic ossification of the ligamentum flavum (TOLF), and to elucidate the key risk factors driving ...
Ruizhou Guo, Ben Liu, Yunqi Wu, Yilu Zhang, Xiyang Wang, Dingyu Jiang, Zheng Liu   +6 more
doaj   +1 more source

Salinization induced under‐ice benthic warming, hypoxia, and reduced spring mixing in a rural lake with low road density

Limnology and Oceanography Letters, Volume 11, Issue 5, September 2026.
Abstract The stratification of ice‐covered lakes is currently understood as either cryomictic (mixing near 0°C) or cryostratified (inverse stratification reaching 4°C). However, internal or external salt sources may alter these patterns, creating stable stratification with high under‐ice bottom water temperatures, a condition we term ...
Ryan W. Scott, Joshua Culpepper, Ryan H. S. Hutchins, James A. Rusak, Mathew G. Wells, Sapna Sharma   +5 more
wiley   +1 more source

Semiparametric isotonic regression analysis for risk assessment under nested case-control and case-cohort designs. [PDF]

Stat Methods Med Res, 2020
Li W, Li R, Feng Z, Ning J.
europepmc   +1 more source