Droplet-based microfluidics

T Moragues, D Arguijo, T Beneyton, C Modavi… - Nature Reviews …, 2023 - nature.com
Droplet-based microfluidic systems generate, manipulate and control sub-microlitre droplets
enclosed within an immiscible carrier fluid. Owing to a number of remarkable features, such …

Label-free microfluidic cell sorting and detection for rapid blood analysis

N Lu, HM Tay, C Petchakup, L He, L Gong, KK Maw… - Lab on a Chip, 2023 - pubs.rsc.org
Blood tests are considered as standard clinical procedures to screen for markers of diseases
and health conditions. However, the complex cellular background (> 99.9% RBCs) and …

In pursuit of the exceptional: research directions for machine learning in chemical and materials science

J Schrier, AJ Norquist, T Buonassisi… - Journal of the American …, 2023 - ACS Publications
Exceptional molecules and materials with one or more extraordinary properties are both
technologically valuable and fundamentally interesting, because they often involve new …

Organ-on-a-chip meets artificial intelligence in drug evaluation

S Deng, C Li, J Cao, Z Cui, J Du, Z Fu, H Yang… - …, 2023 - pmc.ncbi.nlm.nih.gov
Drug evaluation has always been an important area of research in the pharmaceutical
industry. However, animal welfare protection and other shortcomings of traditional drug …

Recent developments and future perspectives of microfluidics and smart technologies in wearable devices

S Apoorva, NT Nguyen, SK Rajan - Lab on a Chip, 2024 - pubs.rsc.org
Wearable devices are gaining popularity in the fields of health monitoring, diagnosis, and
drug delivery. Recent advances in wearable technology have enabled real-time analysis of …

[HTML][HTML] Machine learning in additive manufacturing & Microfluidics for smarter and safer drug delivery systems

A Dedeloudi, E Weaver, DA Lamprou - International Journal of …, 2023 - Elsevier
A new technological passage has emerged in the pharmaceutical field, concerning the
management, application, and transfer of knowledge from humans to machines, as well as …

High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications

J Zhou, J Dong, H Hou, L Huang, J Li - Lab on a Chip, 2024 - pubs.rsc.org
High-throughput microfluidic systems are widely used in biomedical fields for tasks like
disease detection, drug testing, and material discovery. Despite the great advances in …

[HTML][HTML] Design automation of microfluidic single and double emulsion droplets with machine learning

A Lashkaripour, DP McIntyre, SGK Calhoun… - Nature …, 2024 - nature.com
Droplet microfluidics enables kHz screening of picoliter samples at a fraction of the cost of
other high-throughput approaches. However, generating stable droplets with desired …

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 …

Integrating machine learning and biosensors in microfluidic devices: a review.

G Antonelli, J Filippi, M D'Orazio, G Curci… - Biosensors and …, 2024 - Elsevier
Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …