Results 171 to 180 of about 478,717 (244)
Interpretable photoplethysmography-based machine-learning model for noninvasive assessment of systolic blood pressure. [PDF]
Lin CN +7 more
europepmc +1 more source
Large‐scale whole‐exome sequencing in 356,982 UK Biobank participants defines the protein‐coding architecture of retinal structure, visual function, and major blinding diseases. Pleiotropic genes, including CFI, C3, and RIOX1, bridge multiple retinal phenotypes, while experimental validation of FYB2 implicates RPE barrier dysfunction, providing ...
Jianqing Li +23 more
wiley +1 more source
Engineered Modular Polyketide Synthases Elucidate How Enoylreductases Collaborate with Downstream Acyl Carrier Proteins and Ketosynthases to Set Stereocenters. [PDF]
Zhang J, Bista R, Keatinge-Clay AT.
europepmc +1 more source
A new class of Cu, Ni bimetallic 2D cMOF (CuNi‐HHTP 2D cMOF) featuring dual catalytic sites and high delocalized electronic structure for boosting POD performance. The CuNi‐HHTP 2D‐cMOF enhances the conversion kinetics of H2O2 to ROS, which subsequently enhances antibacterial activity and accelerates the healing of oral ulcers, with macroscopic wound ...
Yixuan Lu +9 more
wiley +1 more source
Synergistic effects of two bacteriophages with distinct infection patterns and broad host specificity against multidrug-resistant Salmonella Typhimurium and their potential applications in the poultry industry. [PDF]
Choi Y +9 more
europepmc +1 more source
scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong +6 more
wiley +1 more source
Ligand-dependent reprogramming of HNF4A expression and function suppresses multistep hepatocarcinogenesis. [PDF]
Okada H +17 more
europepmc +1 more source
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park +3 more
wiley +1 more source

