• Reference Citation Analysis
  • v
  • v
  • Find an Article
Find an Article PDF (5080261)   Today's Articles (5074)
For: Stoecklein D, Lore KG, Davies M, Sarkar S, Ganapathysubramanian B. Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data. Sci Rep 2017;7:46368. [PMID: 28402332 PMCID: PMC5389406 DOI: 10.1038/srep46368] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 03/15/2017] [Indexed: 01/29/2023]  Open
Number Cited by Other Article(s)
1
Park J, Kim YW, Jeon HJ. Machine Learning-Driven Innovations in Microfluidics. BIOSENSORS 2024;14:613. [PMID: 39727877 DOI: 10.3390/bios14120613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 12/09/2024] [Accepted: 12/09/2024] [Indexed: 12/28/2024]
2
Zhou C, Liu C, Liao Z, Pang Y, Sun W. AI for biofabrication. Biofabrication 2024;17:012004. [PMID: 39433065 DOI: 10.1088/1758-5090/ad8966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Accepted: 10/21/2024] [Indexed: 10/23/2024]
3
Antonelli G, Filippi J, D'Orazio M, Curci G, Casti P, Mencattini A, Martinelli E. Integrating machine learning and biosensors in microfluidic devices: A review. Biosens Bioelectron 2024;263:116632. [PMID: 39116628 DOI: 10.1016/j.bios.2024.116632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 08/10/2024]
4
Li X, Zhu H, Gu B, Yao C, Gu Y, Xu W, Zhang J, He J, Liu X, Li D. Advancing Intelligent Organ-on-a-Chip Systems with Comprehensive In Situ Bioanalysis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024;36:e2305268. [PMID: 37688520 DOI: 10.1002/adma.202305268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/03/2023] [Indexed: 09/11/2023]
5
Zhou J, Dong J, Hou H, Huang L, Li J. High-throughput microfluidic systems accelerated by artificial intelligence for biomedical applications. LAB ON A CHIP 2024;24:1307-1326. [PMID: 38247405 DOI: 10.1039/d3lc01012k] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
6
Qi X, Zhou Q, Li X, Hu G. Generation of Multiple Concentration Gradients Using a Two-Dimensional Pyramid Array. Anal Chem 2024;96:856-865. [PMID: 38104274 DOI: 10.1021/acs.analchem.3c04496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
7
Smeraldo A, Ponsiglione AM, Netti PA, Torino E. Artificial neural network modelling hydrodenticity for optimal design by microfluidics of polymer nanoparticles to apply in magnetic resonance imaging. Acta Biomater 2023;171:440-450. [PMID: 37775077 DOI: 10.1016/j.actbio.2023.09.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 09/11/2023] [Accepted: 09/17/2023] [Indexed: 10/01/2023]
8
Kim J, Kim J, Jin Y, Cho SW. In situbiosensing technologies for an organ-on-a-chip. Biofabrication 2023;15:042002. [PMID: 37587753 DOI: 10.1088/1758-5090/aceaae] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 07/25/2023] [Indexed: 08/18/2023]
9
Sun H, Xie W, Mo J, Huang Y, Dong H. Deep learning with microfluidics for on-chip droplet generation, control, and analysis. Front Bioeng Biotechnol 2023;11:1208648. [PMID: 37351472 PMCID: PMC10282949 DOI: 10.3389/fbioe.2023.1208648] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 05/25/2023] [Indexed: 06/24/2023]  Open
10
Tsai HF, Podder S, Chen PY. Microsystem Advances through Integration with Artificial Intelligence. MICROMACHINES 2023;14:826. [PMID: 37421059 PMCID: PMC10141994 DOI: 10.3390/mi14040826] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 07/09/2023]
11
Dai M, Xiao G, Shao M, Zhang YS. The Synergy between Deep Learning and Organs-on-Chips for High-Throughput Drug Screening: A Review. BIOSENSORS 2023;13:389. [PMID: 36979601 PMCID: PMC10046732 DOI: 10.3390/bios13030389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 02/22/2023] [Accepted: 03/07/2023] [Indexed: 06/18/2023]
12
Yang Z, Liu X, Cribbin EM, Kim AM, Li JJ, Yong KT. Liver-on-a-chip: Considerations, advances, and beyond. BIOMICROFLUIDICS 2022;16:061502. [PMID: 36389273 PMCID: PMC9646254 DOI: 10.1063/5.0106855] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/25/2022] [Indexed: 05/14/2023]
13
McIntyre D, Lashkaripour A, Fordyce P, Densmore D. Machine learning for microfluidic design and control. LAB ON A CHIP 2022;22:2925-2937. [PMID: 35904162 PMCID: PMC9361804 DOI: 10.1039/d2lc00254j] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 06/28/2022] [Indexed: 05/24/2023]
14
Abe T, Oh-hara S, Ukita Y. Integration of reinforcement learning to realize functional variability of microfluidic systems. BIOMICROFLUIDICS 2022;16:024106. [PMID: 35356131 PMCID: PMC8934189 DOI: 10.1063/5.0087079] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/04/2022] [Indexed: 05/12/2023]
15
Li J, Chen J, Bai H, Wang H, Hao S, Ding Y, Peng B, Zhang J, Li L, Huang W. An Overview of Organs-on-Chips Based on Deep Learning. RESEARCH (WASHINGTON, D.C.) 2022;2022:9869518. [PMID: 35136860 PMCID: PMC8795883 DOI: 10.34133/2022/9869518] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/08/2021] [Indexed: 12/15/2022]
16
Zheng J, Cole T, Zhang Y, Kim J, Tang SY. Exploiting machine learning for bestowing intelligence to microfluidics. Biosens Bioelectron 2021;194:113666. [PMID: 34600338 DOI: 10.1016/j.bios.2021.113666] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/18/2021] [Accepted: 09/21/2021] [Indexed: 02/06/2023]
17
Application of U-Net with Global Convolution Network Module in Computer-Aided Tongue Diagnosis. JOURNAL OF HEALTHCARE ENGINEERING 2021;2021:5853128. [PMID: 34840700 PMCID: PMC8616653 DOI: 10.1155/2021/5853128] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/19/2021] [Accepted: 10/25/2021] [Indexed: 11/17/2022]
18
Hwang S, Choi SK. Deep learning-based surrogate modeling via physics-informed artificial image (PiAI) for strongly coupled multidisciplinary engineering systems. Knowl Based Syst 2021. [DOI: 10.1016/j.knosys.2021.107446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
19
Cai H, Ao Z, Wu Z, Song S, Mackie K, Guo F. Intelligent acoustofluidics enabled mini-bioreactors for human brain organoids. LAB ON A CHIP 2021;21:2194-2205. [PMID: 33955446 PMCID: PMC8243411 DOI: 10.1039/d1lc00145k] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
20
Ma S, Zhao H, Galan EA. Integrating Engineering, Automation, and Intelligence to Catalyze the Biomedical Translation of Organoids. Adv Biol (Weinh) 2021;5:e2100535. [PMID: 33984193 DOI: 10.1002/adbi.202100535] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/21/2021] [Indexed: 12/13/2022]
21
Abe T, Oh-hara S, Ukita Y. Adoption of reinforcement learning for the intelligent control of a microfluidic peristaltic pump. BIOMICROFLUIDICS 2021;15:034101. [PMID: 33986901 PMCID: PMC8106535 DOI: 10.1063/5.0032377] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 04/22/2021] [Indexed: 05/26/2023]
22
Kim Y, Park H. Deep learning-based automated and universal bubble detection and mask extraction in complex two-phase flows. Sci Rep 2021;11:8940. [PMID: 33903689 PMCID: PMC8076184 DOI: 10.1038/s41598-021-88334-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 04/07/2021] [Indexed: 11/12/2022]  Open
23
Hong SH, Shu JI, Wang Y, Baysal O. Automated optimization of double heater convective polymerase chain reaction devices based on CFD simulation database and artificial neural network model. Biomed Microdevices 2021;23:20. [PMID: 33782743 PMCID: PMC8006877 DOI: 10.1007/s10544-021-00551-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/10/2021] [Indexed: 12/12/2022]
24
Lee XY, Waite JR, Yang CH, Pokuri BSS, Joshi A, Balu A, Hegde C, Ganapathysubramanian B, Sarkar S. Fast inverse design of microstructures via generative invariance networks. NATURE COMPUTATIONAL SCIENCE 2021;1:229-238. [PMID: 38183201 DOI: 10.1038/s43588-021-00045-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/22/2021] [Indexed: 01/07/2024]
25
A tongue features fusion approach to predicting prediabetes and diabetes with machine learning. J Biomed Inform 2021;115:103693. [PMID: 33540076 DOI: 10.1016/j.jbi.2021.103693] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/27/2021] [Accepted: 01/28/2021] [Indexed: 02/07/2023]
26
Microfluidics in Biotechnology: Quo Vadis. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2021;179:355-380. [PMID: 33495924 DOI: 10.1007/10_2020_162] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
27
Hadikhani P, Borhani N, H Hashemi SM, Psaltis D. Learning from droplet flows in microfluidic channels using deep neural networks. Sci Rep 2019;9:8114. [PMID: 31148559 PMCID: PMC6544611 DOI: 10.1038/s41598-019-44556-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 05/17/2019] [Indexed: 12/11/2022]  Open
28
Riordon J, Sovilj D, Sanner S, Sinton D, Young EW. Deep Learning with Microfluidics for Biotechnology. Trends Biotechnol 2019;37:310-324. [DOI: 10.1016/j.tibtech.2018.08.005] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 08/22/2018] [Accepted: 08/23/2018] [Indexed: 12/13/2022]
29
Fiorucci G, Padding JT, Dijkstra M. Small asymmetric Brownian objects self-align in nanofluidic channels. SOFT MATTER 2019;15:321-330. [PMID: 30556572 DOI: 10.1039/c8sm02384k] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
30
Stoecklein D, Di Carlo D. Nonlinear Microfluidics. Anal Chem 2018;91:296-314. [DOI: 10.1021/acs.analchem.8b05042] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
31
Akintayo A, Tylka GL, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S. A deep learning framework to discern and count microscopic nematode eggs. Sci Rep 2018;8:9145. [PMID: 29904135 PMCID: PMC6002363 DOI: 10.1038/s41598-018-27272-w] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 05/31/2018] [Indexed: 12/02/2022]  Open
32
Ghosal S, Blystone D, Singh AK, Ganapathysubramanian B, Singh A, Sarkar S. An explainable deep machine vision framework for plant stress phenotyping. Proc Natl Acad Sci U S A 2018;115:4613-4618. [PMID: 29666265 PMCID: PMC5939070 DOI: 10.1073/pnas.1716999115] [Citation(s) in RCA: 165] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]  Open
33
Lore KG, Stoecklein D, Davies M, Ganapathysubramanian B, Sarkar S. A deep learning framework for causal shape transformation. Neural Netw 2018;98:305-317. [PMID: 29301111 DOI: 10.1016/j.neunet.2017.12.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 11/28/2017] [Accepted: 12/04/2017] [Indexed: 12/30/2022]
34
Kim JA, Lee JR, Je TJ, Jeon EC, Lee W. Size-Dependent Inertial Focusing Position Shift and Particle Separations in Triangular Microchannels. Anal Chem 2018;90:1827-1835. [DOI: 10.1021/acs.analchem.7b03851] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
PrevPage 1 of 1 1Next
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA