Intelligent control of nanoparticle synthesis on microfluidic chips with machine learning

X Chen, H Lv - NPG Asia Materials, 2022 - nature.com
Nanoparticles play irreplaceable roles in optoelectronic sensing, medical therapy, material
science, and chemistry due to their unique properties. There are many synthetic pathways …

[HTML][HTML] Advancing healthcare: synergizing biosensors and machine learning for early cancer diagnosis

M Kokabi, MN Tahir, D Singh, M Javanmard - Biosensors, 2023 - mdpi.com
Cancer is a fatal disease and a significant cause of millions of deaths. Traditional methods
for cancer detection often have limitations in identifying the disease in its early stages, and …

Functions and applications of artificial intelligence in droplet microfluidics

H Liu, L Nan, F Chen, Y Zhao, Y Zhao - Lab on a Chip, 2023 - pubs.rsc.org
Droplet microfluidics has emerged as a powerful technology to perform high-throughput
experiments, while artificial intelligence (AI) serves as a functional tool to analyze a large set …

Expanding CAR-T cell immunotherapy horizons through microfluidics

H Kim, S Kim, H Lim, AJ Chung - Lab on a Chip, 2024 - pubs.rsc.org
Chimeric antigen receptor (CAR)-T cell therapies have revolutionized cancer treatment,
particularly in hematological malignancies. However, their application to solid tumors is …

A review on recent advances of AI-integrated microfluidics for analytical and bioanalytical applications

E Asadian, F Bahramian, S Siavashy… - TrAC Trends in …, 2024 - Elsevier
In today's biomedical research, the pursuit of diagnostic tools boasting maximum precision
and accuracy while minimizing sample volume and pre-treatment requirements, has …

High-throughput microfluidic droplets in biomolecular analytical system: A review

L Zhang, R Parvin, M Chen, D Hu, Q Fan… - Biosensors and …, 2023 - Elsevier
Droplet microfluidic technology has revolutionized biomolecular analytical research, as it
has the capability to reserve the genotype-to-phenotype linkage and assist for revealing the …

Application of artificial intelligence to in vitro tumor modeling and characterization of the tumor microenvironment

RY Lee, Y Wu, D Goh, V Tan, CW Ng… - Advanced …, 2023 - Wiley Online Library
In vitro tumor models have played vital roles in enhancing the understanding of the cellular
and molecular composition of tumors, as well as their biochemical and biophysical …

Intelligent control of nanoparticle synthesis through machine learning

H Lv, X Chen - Nanoscale, 2022 - pubs.rsc.org
The synthesis of nanoparticles is affected by many reaction conditions, and their properties
are usually determined by factors such as their size, shape and surface chemistry. In order …

Exploiting machine learning for bestowing intelligence to microfluidics

J Zheng, T Cole, Y Zhang, J Kim, SY Tang - Biosensors and Bioelectronics, 2021 - Elsevier
Intelligent microfluidics is an emerging cross-discipline research area formed by combining
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …

Microfluidics for peptidomics, proteomics, and cell analysis

R Vitorino, S Guedes, JP da Costa, V Kašička - Nanomaterials, 2021 - mdpi.com
Microfluidics is the advanced microtechnology of fluid manipulation in channels with at least
one dimension in the range of 1–100 microns. Microfluidic technology offers a growing …