Results 141 to 150 of about 592,417 (259)

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

Wearable OLED‐Assisted Photodynamic Cancer Therapy Using Chlorin e6‐Loaded Pluronic Nanocapsules as Photosensitizers

open access: yesAdvanced Healthcare Materials, EarlyView.
A novel photodynamic therapeutic approach has been employed for anticancer therapy, utilizing chlorin e6‐loaded Pluronic nanocapsules and a wearable organic light‐emitting diode light source. This has shown significant in vivo antitumor efficacy with minimal off‐target toxicity. The innovative combination of a wearable light source and photosensitizers
Hyeryeon Oh   +7 more
wiley   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

open access: yesAdvanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair   +3 more
wiley   +1 more source

One planet: one health. A call to support the initiative on a global science-policy body on chemicals and waste. [PDF]

open access: yesEnviron Sci Eur, 2022
Brack W   +45 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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