Results 171 to 180 of about 123,516 (301)

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

open access: yesAdvanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu   +5 more
wiley   +1 more source

Enhancing Blood Circulation With Epsilon‐Near‐Zero (ENZ) Materials via the Far‐Infrared Window of Human Skin

open access: yesAdvanced Science, EarlyView.
Epsilon‐near‐zero (ENZ) silicon carbide enables a selective far‐infrared emitter spectrally aligned with the human skin window around 10 µm for wavelength‐matched thermal therapy. In 25 within‐subject trials (50 hands) monitored by laser speckle contrast imaging, SiC increases blood perfusion by 30.2% versus a broadband graphite emitter while ...
Wen‐Teng Yao   +3 more
wiley   +1 more source

Lesion Site‐Targeted Microspheres Modulate Nav1.7‐Related Signaling for Osteoarthritis Treatment

open access: yesAdvanced Science, EarlyView.
Cartilage‐targeted carbamazepine‐loaded WYRGRL‐modified composite microspheres (CBZ/WCOM) anchor to exposed type II collagen in osteoarthritic lesions and release carbamazepine under acidic conditions. This bind‐then‐release platform modulates Nav1.7‐related sodium signaling, Na⁺/Ca²⁺ exchanger‐associated Ca2+ dynamics, and heat shock protein 70 ...
Cheng Chen   +15 more
wiley   +1 more source

Learning during the New Financial Service Innovation Process: Antecedents and Performance Effects

open access: yes
This article theoretically and empirically examines the antecedents and consequences of project learning during the new financial service innovation process.
Blazevic,Vera, Lievens,Annouk
core  

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

open access: yesAdvanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee   +9 more
wiley   +1 more source

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