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Microfluidics

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Leukocyte differential based on an imaging and impedance flow cytometry of microfluidics coupled with deep neural networks.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
The differential of leukocytes functions as the first indicator in clinical examinations. However, microscopic examinations suffered from key limitations of low throughputs in classifying leukocytes while commercially available hematology analyzers f...

Automation and Computerization of (Bio)sensing Systems.

ACS sensors
Sensing systems necessitate automation to reduce human effort, increase reproducibility, and enable remote sensing. In this perspective, we highlight different types of sensing systems with elements of automation, which are based on flow injection an...

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

Lab on a chip
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 automation and throughput, the large amounts of data generated by the high...

AI-enhanced biomedical micro/nanorobots in microfluidics.

Lab on a chip
Human beings encompass sophisticated microcirculation and microenvironments, incorporating a broad spectrum of microfluidic systems that adopt fundamental roles in orchestrating physiological mechanisms. recapitulation of human microenvironments bas...

Combining deep learning and droplet microfluidics for rapid and label-free antimicrobial susceptibility testing of colistin.

Biosensors & bioelectronics
Efficient tools for rapid antibiotic susceptibility testing (AST) are crucial for appropriate use of antibiotics, especially colistin, which is now often considered a last resort therapy with extremely drug resistant Gram-negative bacteria. Here, we ...

GNN-Based Concentration Prediction With Variable Input Flow Rates for Microfluidic Mixers.

IEEE transactions on biomedical circuits and systems
Recent years have witnessed significant advances brought by microfluidic biochips in automating biochemical protocols. Accurate preparation of fluid samples is an essential component of these protocols, where concentration prediction and generation a...

Non-invasive screening of bladder cancer using digital microfluidics and FLIM technology combined with deep learning.

Journal of biophotonics
Non-invasive screening for bladder cancer is crucial for treatment and postoperative follow-up. This study combines digital microfluidics (DMF) technology with fluorescence lifetime imaging microscopy (FLIM) for urine analysis and introduces a novel ...

AI-Powered Microfluidics: Shaping the Future of Phenotypic Drug Discovery.

ACS applied materials & interfaces
Phenotypic drug discovery (PDD), which involves harnessing biological systems directly to uncover effective drugs, has undergone a resurgence in recent years. The rapid advancement of artificial intelligence (AI) over the past few years presents nume...

Leveraging machine learning to streamline the development of liposomal drug delivery systems.

Journal of controlled release : official journal of the Controlled Release Society
Drug delivery systems efficiently and safely administer therapeutic agents to specific body sites. Liposomes, spherical vesicles made of phospholipid bilayers, have become a powerful tool in this field, especially with the rise of microfluidic manufa...