Results 291 to 300 of about 10,694,180 (354)

Investigating the Cellular Effects of GALC Dosing in Enzyme Replacement Therapy for Krabbe Disease Supports the Role of Nanomedicine

open access: yesAdvanced Biology, EarlyView.
A detailed workflow for recombinant GALC production and characterization is presented to support enzyme replacement therapy for Krabbe disease. In vitro assays demonstrate that physiological GALC doses restore enzymatic activity and autophagic flux without affecting cell viability, whereas higher doses impair autophagy and reduce viability.
Ambra Del Grosso   +5 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Retraction Note: Myeloid-derived growth factor (MYDGF) protects bone mass through inhibiting osteoclastogenesis and promoting osteoblast differentiation. [PDF]

open access: yesEMBO Rep
Xu X   +13 more
europepmc   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

THE VALIDITY OF GENERAL BIOLOGY LEARNING EQUIPMENT BASED ON CASE METHOD AND PROJECT BASED LEARNING

open access: bronze
Dina Handayani   +5 more
openalex   +1 more source

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