Envisioning the Future of High-Throughput Biomedical Assays through the Convergence of AI and Droplet Microfluidics DOI Open Access
Yuanyuan Wei, Ho‐Pui Ho

Journal of Biomedical Research & Environmental Sciences, Journal Year: 2024, Volume and Issue: 5(3), P. 233 - 236

Published: March 1, 2024

The advent of droplet microfluidics has revolutionized the landscape biomedical research, offering a platform for precise control and manipulation fluids at microscale [1,2].

Language: Английский

Development and future of droplet microfluidics DOI Open Access
Lang Nan,

Huidan Zhang,

David A. Weitz

et al.

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(5), P. 1135 - 1153

Published: Jan. 1, 2024

This review introduces the development of droplet microfluidics by explaining physical mechanisms generation, discussing various approaches in manipulating droplets, and summarizing key applications material science biological analyses.

Language: Английский

Citations

79

Organ-on-a-chip meets artificial intelligence in drug evaluation DOI Creative Commons
Shiwen Deng, Caifeng Li, Junxian Cao

et al.

Theranostics, Journal Year: 2023, Volume and Issue: 13(13), P. 4526 - 4558

Published: Jan. 1, 2023

Drug evaluation has always been an important area of research in the pharmaceutical industry. However, animal welfare protection and other shortcomings traditional drug development models pose obstacles challenges to evaluation. Organ-on-a-chip (OoC) technology, which simulates human organs on a chip physiological environment functionality, with high fidelity reproduction organ-level physiology or pathophysiology, exhibits great promise for innovating pipeline. Meanwhile, advancement artificial intelligence (AI) provides more improvements design data processing OoCs. Here, we review current progress that made generate OoC platforms, how single multi-OoCs have used applications, including testing, disease modeling, personalized medicine. Moreover, discuss issues facing field, such as large reproducibility, point integration OoCs AI analysis automation, is benefit future Finally, look forward opportunities faced by coupling AI. In summary, advancements development, combinations AI, will eventually break state

Language: Английский

Citations

60

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

Sasikala Apoorva,

Nam‐Trung Nguyen, Kamalalayam Rajan Sreejith

et al.

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(7), P. 1833 - 1866

Published: Jan. 1, 2024

Wearable devices are increasingly popular in health monitoring, diagnosis, and drug delivery. Advances allow real-time analysis of biofluids like sweat, tears, saliva, wound fluid, urine.

Language: Английский

Citations

27

3D printing and artificial intelligence tools for droplet microfluidics: Advances in the generation and analysis of emulsions DOI

Sibilla Orsini,

Marco Lauricella, Andrea Montessori

et al.

Applied Physics Reviews, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 21, 2025

Droplet microfluidics has emerged as highly relevant technology in diverse fields such nanomaterials synthesis, photonics, drug delivery, regenerative medicine, food science, cosmetics, and agriculture. While significant progress been made understanding the fundamental mechanisms underlying droplet generation microchannels fabricating devices to produce droplets with varied functionality high throughput, challenges persist along two important directions. On one side, generalization of numerical results obtained by computational fluid dynamics would be deepen comprehension complex physical phenomena microfluidics, well capability predicting device behavior. Conversely, truly three-dimensional architectures enhance microfluidic platforms terms tailoring enhancing flow properties. Recent advancements artificial intelligence (AI) additive manufacturing (AM) promise unequaled opportunities for simulating behavior, precisely tracking individual droplets, exploring innovative designs. This review provides a comprehensive overview recent applying AI AM microfluidics. The basic properties multiphase flows production are discussed, current fabrication methods related introduced, together their applications. Delving into use technologies topics covered include AI-assisted simulations real-time within systems, AM-fabrication systems. synergistic combination is expected active matter expediting transition toward fully digital

Language: Английский

Citations

4

AI-enhanced biomedical micro/nanorobots in microfluidics DOI Open Access
Hui Dong, Jiawen Lin,

Yihui Tao

et al.

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(5), P. 1419 - 1440

Published: Jan. 1, 2024

Although developed independently at the beginning, AI, micro/nanorobots and microfluidics have become more intertwined in past few years which has greatly propelled cutting-edge development fields of biomedical sciences.

Language: Английский

Citations

18

Direct laser writing-enabled 3D printing strategies for microfluidic applications DOI Creative Commons
Olivia M. Young, Xin Xu, Sunandita Sarker

et al.

Lab on a Chip, Journal Year: 2024, Volume and Issue: 24(9), P. 2371 - 2396

Published: Jan. 1, 2024

Over the past decade, additive manufacturing-or "three-dimensional (3D) printing"-has attracted increasing attention in

Language: Английский

Citations

13

Data‐Driven Theoretical Modeling of Centrifugal Step Emulsification and Its Application in Comprehensive Multiscale Analysis DOI Creative Commons

Xin Wang,

Xiaolu Cai,

Chao Wan

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 8, 2025

Tailored droplet generation is crucial for microfluidics that involve samples of varying sizes. However, the absence precise predictive models forces platforms to rely on empiricism derived from extensive experiments, underscoring need comprehensive modeling analysis. To address this, a novel customized assembled centrifugal step emulsifier (CASE) presented by incorporating "jigsaw puzzles" design efficiently acquire large-scale experimental data. Numerical simulations are utilized analyze fluid configurations during emulsification, identifying key connection tube determines size. By training and verifying with simulation datasets, theoretical model established allows preliminary size frequency an average error rate 4.8%, successfully filling critical gap in existing field. This empowers CASE achieve all-in-one functionality, including pre-design, generation, manipulation, on-site detection. As proof concept, multiscale sample analysis ranging nanoscale nucleic acids microscale bacteria 3D cell spheroids realized CASE. In summary, this platform offers valuable guidance emulsifiers promotes adoption biochemical assays.

Language: Английский

Citations

2

Advances in Microfluidics-Enabled Dimensional Design of Micro-/Nanomaterials for Biomedical Applications: A Review DOI
Guangyao Li, Ying Chen,

Xuming Zhang

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Biomedical materials are of great significance for preventing and treating major diseases protecting human health. At present, more stringent requirements have been put forward the preparation methods dimension control biomedical based on urgent demand high-performance materials, especially existence various physiological size thresholds in vitro/in vivo. Microfluidic platforms break limitations traditional micro-/nanomaterial synthesis, which provide a miniaturized highly controlled environment size-dependent biomaterials. In this review, basic conceptions technical characteristics microfluidics first described. Then syntheses with different dimensions (0D, 1D, 2D, 3D) driven by systematically summarized. Meanwhile, applications microfluidics-driven including diagnosis, anti-inflammatory, drug delivery, antibacterial, disease therapy, discussed. Furthermore, challenges developments research field further proposed. This work is expected to facilitate convergence between bioscience engineering communities continue contribute emerging field.

Language: Английский

Citations

1

Research progress and application exploration of typical microreactor technologies for health monitoring and disease Diagnosis/Treatment DOI

Zhongjian Tan,

Yun Zheng, Huanhuan Shi

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 155938 - 155938

Published: Sept. 1, 2024

Language: Английский

Citations

4

Integration of Artificial Intelligence and Computational Thinking in Lab-on-a-chip Technology for Quality Improvement in Healthcare DOI Creative Commons

Suparna Das,

Hirak Mazumdar

Royal Society of Chemistry eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 272 - 309

Published: Aug. 14, 2024

The biological sciences now have a wealth of exciting prospects because artificial intelligence (AI). For the analysis enormous amounts information generated by biotechnology platforms for as well biomedical applications, AI approaches can be very helpful. With advancements in controllable response chambers, high throughput arrays, and tracking devices, microfluidics generates huge quantities data which is not always properly processed. Biotechnology research benefit from increased clinical analytical throughputs integration with microfluidics. While improves experimental techniques lowers costs scales, technologies dramatically increase processing large datasets produced multiplexed, high-throughput Future such drug discovery, quick point-of-care diagnostics, customized medicine, may all gain use smart A summary key advances integrated presented here we discuss possibilities combining

Language: Английский

Citations

3