Keeping generative artificial intelligence reliable in omics biology. [PDF]
Burger T.
europepmc +1 more source
Data Mining, Machine Learning and Official Statistics
Gilbert Saporta, Hossein Hassani
openalex +1 more source
Strong Proton‐Phonon Coupling Drives Fast Ion Transport in Perovskites
Experimental and computational phonon analysis of ABO3‐type proton conductor BaSnO3 shows that substitution on the B‐site with yttrium forms an imaginary phonon mode which is instrumental for the function as proton conductor. This overcompensates the adverse proton trapping effect of the yttrium.
Alexey Rulev +8 more
wiley +1 more source
Classifying complex multimorbidity using latent class analysis and machine learning to generate insights into clustering of mental and cardiometabolic conditions. [PDF]
Mukherjee M +3 more
europepmc +1 more source
NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease
NDST3‐mediated epigenetic reprogramming revitalizes neuronal circuits in the substantia nigra and striatum to halt dopaminergic neuron degeneration and restore motor function in Parkinson's disease models. This strategy promotes neuronal maintenance and functional recovery, highlighting NDST3's therapeutic potential in neurodegenerative disorders ...
Yujung Chang +18 more
wiley +1 more source
A computer-aided diagnosis system of parkinson's disease based on hilbert spectrum features of speech. [PDF]
Ma Y, Zheng F, Lu J, Wang J.
europepmc +1 more source
PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao +16 more
wiley +1 more source
Gene Expression-Based Colorectal Cancer Prediction Using Machine Learning and SHAP Analysis. [PDF]
Yin Y, Yang Z, Li X, Gong S, Xu C.
europepmc +1 more source
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source

