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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 …
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
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 …
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 …
experiments, while artificial intelligence (AI) serves as a functional tool to analyze a large set …
Expanding CAR-T cell immunotherapy horizons through microfluidics
Chimeric antigen receptor (CAR)-T cell therapies have revolutionized cancer treatment,
particularly in hematological malignancies. However, their application to solid tumors is …
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
In today's biomedical research, the pursuit of diagnostic tools boasting maximum precision
and accuracy while minimizing sample volume and pre-treatment requirements, has …
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 …
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
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 …
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 …
are usually determined by factors such as their size, shape and surface chemistry. In order …
Exploiting machine learning for bestowing intelligence to microfluidics
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 with machine learning. It uses the advantages of microfluidics, such as high …
Microfluidics for peptidomics, proteomics, and cell analysis
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 …
one dimension in the range of 1–100 microns. Microfluidic technology offers a growing …