AIMC Topic: Polystyrenes
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Particle uptake in cancer cells can predict malignancy and drug resistance using machine learning.
Science advances
May 29, 2024
Tumor heterogeneity is a primary factor that contributes to treatment failure. Predictive tools, capable of classifying cancer cells based on their functions, may substantially enhance therapy and extend patient life span. The connection between cell...
3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles.
Biomaterials
May 24, 2024
The proliferation of medical wearables necessitates the development of novel electrodes for cutaneous electrophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is combined with a deep eutectic solvent (DES) a...
Behavioral toxicological tracking analysis of Drosophila larvae exposed to polystyrene microplastics based on machine learning.
Journal of environmental management
Apr 26, 2024
Microplastics, as a pivotal concern within plastic pollution, have sparked widespread apprehension due to their ubiquitous presence. Recent research indicates that these minuscule plastic particles may exert discernible effects on the locomotor capab...
Artificial Intelligence-Assisted Digital Immunoassay Based on a Programmable-Particle-Decoding Technique for Multitarget Ultrasensitive Detection.
Analytical chemistry
Dec 26, 2022
The development of a multitarget ultrasensitive immunoassay is significant to fields such as medical research, clinical diagnosis, and food safety inspection. In this study, an artificial intelligence (AI)-assisted programmable-particle-decoding tech...
Deep Learning of Binary Solution Phase Behavior of Polystyrene.
ACS macro letters
May 31, 2021
Predicting binary solution phase behavior of polymers has remained a challenge since the early theory of Flory-Huggins, hindering the processing, synthesis, and design of polymeric materials. Herein, we take a complementary data-driven approach by bu...
On the Evaluation of Rhamnolipid Biosurfactant Adsorption Performance on Amberlite XAD-2 Using Machine Learning Techniques.
BioMed research international
Apr 26, 2021
Biosurfactants are a series of organic compounds that are composed of two parts, hydrophobic and hydrophilic, and since they have properties such as less toxicity and biodegradation, they are widely used in the food industry. Important applications i...
Infrared actuation-induced simultaneous reconfiguration of surface color and morphology for soft robotics.
Scientific reports
Dec 13, 2017
Cephalopods, such as cuttlefish, demonstrate remarkable adaptability to the coloration and texture of their surroundings by modulating their skin color and surface morphology simultaneously, for the purpose of adaptive camouflage and signal communica...
Innovative material containing the natural product curcumin, with enhanced antimicrobial properties for active packaging.
Materials science & engineering. C, Materials for biological applications
Nov 28, 2017
Curcumin (Curc) reacts with zinc di‑iodine (ZnI) in 2:1molar ratio in the presence of an excess of a base triethylamine ((CHCH)N) in methanol (CHOH) solution towards the amorphous solid material of formula [ZnI(Curc)] (1). The complex was characteriz...
Neuromorphic device architectures with global connectivity through electrolyte gating.
Nature communications
May 17, 2017
Information processing in the brain takes place in a network of neurons that are connected with each other by an immense number of synapses. At the same time, neurons are immersed in a common electrochemical environment, and global parameters such as...
Toward a new generation of electrically controllable hygromorphic soft actuators.
Advanced materials (Deerfield Beach, Fla.)
Jan 2, 2015
An innovative processing strategy for fabricating soft structures that possess electric- and humidity-driven active/passive actuation capabilities along with touch- and humidity-sensing properties is reported. The intrinsically multifunctional materi...
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