Results 161 to 170 of about 21,253 (264)

Genetic Diversity and Clonal Structure of Small-Leaved Lime (<i>Tilia cordata</i> Mill.) in Lithuanian Protected Forest Areas. [PDF]

open access: yesPlants (Basel)
Verbylaitė R   +5 more
europepmc   +1 more source

Multi‐Technique Integration Identifies O‐GlcNAc Transferase in Fibroblast‐Like Synoviocytes as a Therapeutic Target for Rheumatoid Arthritis

open access: yesAdvanced Science, EarlyView.
AI‑guided single‑cell transcriptomics identifies OGT as a key regulator enriched in rheumatoid arthritis fibroblast‑like synoviocytes (RA‐FLSs). Inflammatory stimuli activate the OGT–SAP130 axis, which modulates the H3K27ac/H3K27me3 balance and epigenetically silences BTG2, promoting aggressive transformation of RA‑FLSs.
Duoli Xie   +14 more
wiley   +1 more source

Joint Selection for Growth and Leaf Color in Superior Trees of <i>Sapium discolor</i> in Fujian Province, China. [PDF]

open access: yesPlants (Basel)
Fang Y   +11 more
europepmc   +1 more source

Single‐Molecule Imaging of Endogenous RNA Using a Miniaturized and Circularly Permuted CRISPR‐Cas13 Degron‐Masking System CDegSR

open access: yesAdvanced Science, EarlyView.
CDegSR, a new tool for imaging RNA at single molecule level in living cells was developed by researchers. Background noise was eliminated by protein engineering and making it degrade when not bound to its target. This allowed individual RNA molecules to be clearly imaged and tracked.
Shipeng Shao, Hongchen Zhang
wiley   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

open access: yesAIChE Journal, EarlyView.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha   +2 more
wiley   +1 more source

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