Results 171 to 180 of about 485,334 (314)

PPARγ-responsive luciferase reporter system for high-throughput screening of chemical toxins with potential pulmonary fibrosis effects

open access: gold
Xueyang Lin   +17 more
openalex   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

Generation of high-performance human cardiomyocytes and engineered heart tissues from extended pluripotent stem cells

open access: yesCell Discovery, 2022
Li Li   +9 more
doaj   +1 more source

Population-Based in Vitro Hazard and Concentration–Response Assessment of Chemicals: The 1000 Genomes High-Throughput Screening Study

open access: diamond, 2015
Nour Abdo   +16 more
openalex   +1 more source

Author response: A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids

open access: gold, 2020
Henrik Renner   +14 more
openalex   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Droplet-microarray on superhydrophobic–superhydrophilic patterns for high-throughput live cell screenings

open access: green, 2016
Anna A. Popova   +4 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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   +7 more
wiley   +1 more source

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