Results 171 to 180 of about 173,489,929 (299)

A General High‐Throughput Mucus Microrheology Platform for Quantitative and Scalable Mucus Phenotyping

open access: yesAdvanced Science, EarlyView.
High‐throughput Differential Dynamic Microscopy measures frequency‐resolved mechanical fingerprints from 3 to 10 μL$\umu{\rm L}$ mucus samples using only a few minutes of operator attention per sample. This automated analysis enables scalable mucus phenotyping for translational research by distinguishing mechanical heterogeneity among donors, disease ...
Feng Ling   +18 more
wiley   +1 more source

Induction of Labor: A Narrative Review for Clinical Use. [PDF]

open access: yesCureus
Namutosi E   +9 more
europepmc   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

open access: yesAdvanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge   +13 more
wiley   +1 more source

Magneto‐Sono‐Enhanced Nanozyme Catalysis Drives ROS‐Mediated Pathogen Killing and Mitophagy‐Linked Inflammation Control in Bacterial Pneumonia

open access: yesAdvanced Science, EarlyView.
Nebulized BN@NF nanozymes integrate boron nanosheets with Nd‐doped iron phosphide to form a sono‐magneto‐responsive Z‐scheme heterostructure. Under ultrasound and magnetic activation, BN@NF amplifies ROS generation, eradicates bacteria, disrupts biofilms, and reshapes pulmonary inflammation through NF‐κB suppression, mitophagy promotion, and M1‐to‐M2 ...
Xiaofeng Luo   +6 more
wiley   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

open access: yesAdvanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge   +6 more
wiley   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

open access: yesAdvanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen   +11 more
wiley   +1 more source

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