Results 121 to 130 of about 136,332 (261)
FetchM: streamlining genome and metadata integration for bacterial comparative genomics. [PDF]
Anik TA, Kjær Mackie Jensen P, Begum A.
europepmc +1 more source
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon +6 more
wiley +1 more source
Vascular Aβ40 corrupts GRP78 phase behavior in brain endothelial cells, sustaining IRE1α–TRAF2–JNK signaling and driving apoptosis, tight junction loss, and blood–brain barrier failure in cerebral amyloid angiopathy. Pharmacological IRE1α inhibition restores vascular integrity, reduces leakage, and improves functional outcomes, revealing a targetable ...
Honglin Zheng +19 more
wiley +1 more source
Heat stress promotes WNT5A secretion from fibroblasts via METTL3/YTHDC1‐dependent m6A methylation. Subsequently, WNT5A binds to FZD10 on melanocytes, activating β‐catenin‐driven melanogenesis. ABSTRACT As the impact of global warming continues to intensify, the effects of heat stress on the skin are becoming increasingly evident.
Yuanyuan Wan +13 more
wiley +1 more source
CistromeMeta: a large language model powered tool for automated ChIP-seq metadata extraction. [PDF]
Piccaro N, Brown M, Meyer C.
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Wild Pedigree exploreR (wpeR): Streamlined Analysis and Visualization of Wild Pedigrees in Time and Space. [PDF]
Simčič G, Skrbinšek T.
europepmc +1 more source
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source

