Results 231 to 240 of about 182,688 (272)

Antibody‐Empowered Nanomedicine for Precise Biomedical Applications

open access: yesAdvanced Science, EarlyView.
This review explores strategies for functionalizing nanoparticles with antibodies to construct antibody‐empowered nanomedicine. It discusses the classification of these nanomedicines based on antibody structure, with a specific focus on their biomedical applications in diagnostics, bioimaging, and therapeutics for various diseases.
Chen Chen   +7 more
wiley   +1 more source

Soft, Flexible, and Stretchable Platforms for Tissue‐Interfaced Bioelectronics

open access: yesAdvanced Science, EarlyView.
Bio‐integrated electronics provide mechanically compliant and stable interfaces with soft biological tissues. Representative applications include neural interfaces, wet‐organadhesive electronics, and skin‐interfaced devices. E represents Young´s modulus and ε represents strain.
Kento Yamagishi   +3 more
wiley   +1 more source

Dual‐Responsive Yarn‐Based Artificial Muscles for Adaptive Thermal Management

open access: yesAdvanced Science, EarlyView.
Inspired by the conscious movements of skeletal muscle, a novel hybrid yarn‐based artificial muscle (HYAM) coupling moisture actuation with controllable recovery is developed. This unique design increases actuation stroke by 128% and shortens recovery time by 91%. This unique design enhances the actuation stroke by 128% and reduces the recovery time by
Mengjiao Pan   +11 more
wiley   +1 more source

Engineering Immune Cell to Counteract Aging and Aging‐Associated Diseases

open access: yesAdvanced Science, EarlyView.
This review highlights a paradigm shift in which advanced immune cell therapies, initially developed for cancer, are now being harnessed to combat aging. By engineering immune cells to selectively clear senescent cells and remodel pro‐inflammatory tissue microenvironments, these strategies offer a novel and powerful approach to delay age‐related ...
Jianhua Guo   +5 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

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