Results 201 to 210 of about 9,147,708 (269)

Charting Morphotoxicity With Complementary Embryo Models

open access: yesAdvanced Healthcare Materials, EarlyView.
Three human embryo models of the peri‐implantation stages are exposed to a library of compounds. The (toxic) effects of the compounds are analyzed through automated image analysis pipelines. By evaluating the differential responses of the embryo models, this study underscores the importance of testing complementary embryo models to achieve robust and ...
Dorian G. Luijkx   +9 more
wiley   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

open access: yesAdvanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj   +23 more
wiley   +1 more source

Learning the reaction coordinate: collective variables from physical intuition to generative models.

open access: yesDigit Discov
Talmazan RA   +5 more
europepmc   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz   +9 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

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