Results 181 to 190 of about 1,104,325 (338)

Light energy transduction in liposome-based artificial cells. [PDF]

Front Bioeng Biotechnol, 2023
Albanese P, Mavelli F, Altamura E.
europepmc   +1 more source

Artificial Antigen Presenting Cells: An Off the Shelf Approach for Generation of Desirable T-Cell Populations for Broad Application of Adoptive Immunotherapy

, 2015
Aisha Hasan, Annamalai Selvakumar
openalex   +1 more source

Artificial cells, Nanomedcine & Biotechnology [PDF]

Artificial Cells, Nanomedicine, and Biotechnology, 2013
openaire   +2 more sources

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Bioactive Artificial Cells as Autonomous Metabolic Actuators Enable Bidirectional Communication with Tumor Cells. [PDF]

J Am Chem Soc
Hu L, Peng W, Yu J, Förch L, Mann S, Kuan SL, Weil T.   +6 more
europepmc   +1 more source

Development of a Safeguard System Using an Episomal Mammalian Artificial Chromosome for Gene and Cell Therapy [PDF]

, 2015
Narumi Uno, Katsuhiro Uno, Shinya Komoto, Teruhiko Suzuki, Masaharu Hiratsuka, Mitsuhiko Osaki, Yasuhiro Kazuki, Mitsuo Oshimura   +7 more
openalex   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

Assembling Lipid Membrane Scaffolds on Microgel-Based Artificial Cells through Vesicle Fusion onto the Hydrogel Network. [PDF]

ACS Nano
Allen ME, Hindley JW, Müller MI, Cai K, Kuimova MK, Law RV, Connell SD, Wegner SV, Ces O, Elani Y.   +9 more
europepmc   +1 more source

DNA droplets for intelligent and dynamical artificial cells: from the viewpoint of computation and non-equilibrium systems. [PDF]

Interface Focus, 2023
Takinoue M.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source