A Biomimetic Optical Cardiac Fibrosis-on-a-Chip for High-Throughput Anti-Fibrotic Drug Screening DOI Creative Commons

Yixuan Shang,

Dongyu Xu, Lingyu Sun

et al.

Research, Journal Year: 2024, Volume and Issue: 7

Published: Jan. 1, 2024

Cardiac fibrosis has emerged as the primary cause of morbidity, disability, and even mortality in numerous nations. In light advancements precision medicine strategies, substantial attention been directed toward development a practical precise drug screening platform customized for individual patients. this study, we introduce biomimetic cardiac fibrosis-on-a-chip incorporating structural color hydrogels (SCHs) to enable optical high-throughput screening. By cocultivating proportion fibroblasts (CFBs) with cardiomyocytes on SCH, fibrotic microtissue successfully replicates components biomechanical properties associated fibrosis. More importantly, shift observed SCH can be indicative contraction relaxation, making it valuable tool evaluating progression. such into microfluidic gradient chip, develop that accurately efficiently screens potential anti-fibrotic drugs. These characteristics suggest microphysiological possesses capability establish preclinical framework drugs, may contribute advancement medicine.

Language: Английский

Artificial Intelligence-Powered Materials Science DOI Creative Commons
Xiaopeng Bai, Xingcai Zhang

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 6, 2025

Abstract The advancement of materials has played a pivotal role in the human civilization, and emergence artificial intelligence (AI)-empowered science heralds new era with substantial potential to tackle escalating challenges related energy, environment, biomedical concerns sustainable manner. exploration development are poised assume critical attaining technologically advanced solutions that environmentally friendly, energy-efficient, conducive well-being. This review provides comprehensive overview current scholarly progress intelligence-powered its cutting-edge applications. We anticipate AI technology will be extensively utilized material research development, thereby expediting growth implementation novel materials. serve as catalyst for innovation, turn, advancements innovation further enhance capabilities AI-powered science. Through synergistic collaboration between science, we stand realize future propelled by

Language: Английский

Citations

2
Mechanically regulated microcarriers with stem cell loading for skin photoaging therapy DOI
Xiang Lin, Anne M. Filppula, Yuanjin Zhao

et al.

Bioactive Materials, Journal Year: 2025, Volume and Issue: 46, P. 448 - 456

Published: Jan. 5, 2025

Language: Английский

Citations

1
Nanoplasmonic Single‐Tumoroid Microarray for Real‐Time Secretion Analysis DOI Creative Commons
Yen‐Cheng Liu, Saeid Ansaryan, Jiayi Tan

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: June 24, 2024

Organoid tumor models have emerged as a powerful tool in the fields of biology and medicine such 3D structures grown from cells recapitulate better characteristics, making these tumoroids unique for personalized cancer research. Assessment their functional behavior, particularly protein secretion, is significant importance to provide comprehensive insights. Here, label-free spectroscopic imaging platform presented with advanced integrated optofluidic nanoplasmonic biosensor that enables real-time secretion analysis single tumoroids. A novel two-layer microwell design isolates tumoroids, preventing signal interference, microarray configuration allows concurrent multiple The dual capability combining time-lapse plasmonic spectroscopy bright-field microscopy facilitates simultaneous observation dynamics, motility, morphology. demonstrated colorectal derived both cell lines patient samples investigate vascular endothelial growth factor (VEGF-A) growth, movement under various conditions, including normoxia, hypoxia, drug treatment. This platform, by offering approach nanophotonics monitor can pave way new applications fundamental biological studies, screening, development therapies.

Language: Английский

Citations

6
Virus detection light diffraction fingerprints for biological applications DOI Creative Commons
Tongge Li, Ning Yang, Yi Xiao

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(11)

Published: March 13, 2024

The transmission of viral diseases is highly unstable and contagious. As the carrier virus transmission, cell an important factor to explore mechanism disease. However, there still a lack effective means continuously monitor process infection in cells, no rapid, high-throughput method assess status infection. On basis light diffraction fingerprint we applied gray co-occurrence matrix, set two parameters effectively distinguish time visualized cells high throughput. We provide efficient nondestructive testing for selection excellent livestock poultry breeds at cellular level. Meanwhile, our work provides detection methods recessive human-to-human, animal-to-animal, zoonotic inhibit block their further development.

Language: Английский

Citations

4
Machine Learning-Driven Innovations in Microfluidics DOI Creative Commons

JinSeok Park,

Y. Kim, Hee‐Jae Jeon

et al.

Biosensors, Journal Year: 2024, Volume and Issue: 14(12), P. 613 - 613

Published: Dec. 13, 2024

Microfluidic devices have revolutionized biosensing by enabling precise manipulation of minute fluid volumes across diverse applications. This review investigates the incorporation machine learning (ML) into design, fabrication, and application microfluidic biosensors, emphasizing how ML algorithms enhance performance improving design accuracy, operational efficiency, management complex diagnostic datasets. Integrating microfluidics with has fostered intelligent systems capable automating experimental workflows, real-time data analysis, supporting informed decision-making. Recent advances in health diagnostics, environmental monitoring, synthetic biology driven are critically examined. highlights transformative potential ML-enhanced systems, offering insights future trajectory this rapidly evolving field.

Language: Английский

Citations

4
Artificial intelligence artificial muscle of dielectric elastomers DOI Creative Commons
Dongyang Huang, Jiaxuan Ma, Yubing Han

et al.

Materials & Design, Journal Year: 2025, Volume and Issue: unknown, P. 113691 - 113691

Published: Feb. 1, 2025

Citations

0
Photonic Chip Based on Ultrafast Laser-Induced Reversible Phase Change for Convolutional Neural Network DOI Creative Commons
Jiawang Xie,

Jianfeng Yan,

Haoze Han

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 11, 2025

Abstract Photonic computing has emerged as a promising technology for the ever-increasing computational demands of machine learning and artificial intelligence. Due to advantages in speed, integrated photonic chips have attracted wide research attention on performing convolutional neural network algorithm. Programmable are vital achieving practical applications computing. Herein, programmable chip based ultrafast laser-induced phase change is fabricated Through designing laser pulses, Sb film into waveguides can be reversibly switched between crystalline amorphous phase, resulting large contrast refractive index extinction coefficient. As consequence, light transmission write erase states. To determine time, transient dynamics revealed at atomic scale, time-resolved reflectivity measured. Based chip, networks built implement algorithm, images recognition task achieved. This work paves route fabricating by designed laser, which will facilitate application

Language: Английский

Citations

0
Machine-Learning Mental-Fatigue-Measuring μm-Thick Elastic Epidermal Electronics (MMMEEE) DOI
Haitao Liu, Haichuan Li,

Yexiong Wang

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Electrophysiological (EP) signals are key biomarkers for monitoring mental fatigue (MF) and general health, but state-of-the-art wearable EP-based MF systems bulky require user-specific, labeled data. Ultrathin epidermal electrodes with high performance ideal constructing imperceptive EP sensing systems; however, the lack of a simple scalable fabrication delays their application in recognition. Here, we report facile, printing-welding-transferring strategy (PWT) printing μm-thickness micropatterned silver nanowires (AgNWs)/sticky polydimethylsiloxane, welding AgNWs via plasmonic effect, transferring electrode to skin as tattoos. The PWT provides conformability, comfort, stability sensing. Leveraging facile PWT, develop plug-and-play wireless multimodal electronics integrated an unsupervised transfer learning (UTL) scheme recognition across various users. UTL adaptively minimizes intersubject difference achieves accuracy, without demand expensive computation labels from target

Language: Английский

Citations

3
A Biomimetic Optical Cardiac Fibrosis-on-a-Chip for High-Throughput Anti-Fibrotic Drug Screening DOI Creative Commons

Yixuan Shang,

Dongyu Xu, Lingyu Sun

et al.

Research, Journal Year: 2024, Volume and Issue: 7

Published: Jan. 1, 2024

Cardiac fibrosis has emerged as the primary cause of morbidity, disability, and even mortality in numerous nations. In light advancements precision medicine strategies, substantial attention been directed toward development a practical precise drug screening platform customized for individual patients. this study, we introduce biomimetic cardiac fibrosis-on-a-chip incorporating structural color hydrogels (SCHs) to enable optical high-throughput screening. By cocultivating proportion fibroblasts (CFBs) with cardiomyocytes on SCH, fibrotic microtissue successfully replicates components biomechanical properties associated fibrosis. More importantly, shift observed SCH can be indicative contraction relaxation, making it valuable tool evaluating progression. such into microfluidic gradient chip, develop that accurately efficiently screens potential anti-fibrotic drugs. These characteristics suggest microphysiological possesses capability establish preclinical framework drugs, may contribute advancement medicine.

Language: Английский

Citations

2