Results 241 to 250 of about 6,094,319 (389)

Engineering Assembloids to Mimic Graft‐Host Skeletal Muscle Interaction

open access: yesAdvanced Healthcare Materials, EarlyView.
This study develops a graft‐host skeletal muscle assembloid model combining neuromuscular organoids with tissue‐engineered constructs. Pre‐seeding decellularized muscles with myogenic cells enhances cell migration and axon invasion from the organoid. The model exhibits regenerative capacity following acute damage, advancing the understanding of human ...
Lucia Rossi   +13 more
wiley   +1 more source

Threats of zoonotic pathogens in food chain: Current status and gaps in India. [PDF]

open access: yesHeliyon
Das M   +9 more
europepmc   +1 more source

Gasotransmitters in Modern Medicine: Promises and Challenges in the Use of Porous Crystalline Carriers

open access: yesAdvanced Healthcare Materials, EarlyView.
This perspective provides an overview of the growing interest in utilizing various gasotransmitters—small gaseous signaling molecules namely nitric oxide (NO), carbon monoxide (CO), and hydrogen sulfide (H2S)—for several therapeutic applications, with emphasis on the potential use of porous materials as carriers to provide safe and controlled local ...
Rosana V. Pinto   +2 more
wiley   +1 more source

TPMS‐Gyroid Scaffold‐Mediated Up‐Regulation of ITGB1 for Enhanced Cell Adhesion and Immune‐Modulatory Osteogenesis

open access: yesAdvanced Healthcare Materials, EarlyView.
A) SLM generates biomimetic bone scaffolds with consistent porosity but varying TPMS‐Gyroid unit cell designs (TG15, TG20, TG25, TG30). B) By enhancing the expression of ITGB1, TPMS‐Gyroid scaffolds can facilitate osteogenic differentiation in BMSCs and promote M2 polarization in macrophages.
Jing Wang   +9 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

open access: yesAdvanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi   +4 more
wiley   +1 more source

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