Research graph
References from Artificial intelligence across Organ-on-a-Chip workflows: current implementations and future approaches. Local targets link to admitted publications; unresolved targets remain external evidence.
A guide to the Organ-on-a-Chip
10.1038/s43586-022-00118-6 · 2022 · External reference
Organoid-on-a-chip and body-on-a-chip systems for drug screening and disease modelling
10.1016/j.drudis.2016.07.003 · 2016 · External reference
‘Human-on-a-chip’ developments: a translational cutting-edge alternative to systemic safety assessment and efficiency evaluation of substances in laboratory animals and man?
10.1177/026119291204000504 · 2012 · External reference
Reconstituting organ-level lung functions on a chip
10.1126/science.1188302 · 2010 · External reference
Synergistic innovation in Organ-on-a-Chip and organoid technologies: reshaping the future of disease modelling, drug development, and precision medicine
10.1093/procel/pwaf058 · 2025 · External reference
Organ-on-a-Chip devices: technology progress and challenges ChemBioChem
10.1002/cbic.202400580 · 2024 · External reference
An overview of organs-on-chips based on deep learning
10.34133/2022/9869518 · 2022 · External reference
Dissecting effects of anti-cancer drugs and cancer-associated fibroblasts by on-chip reconstitution of immunocompetent tumor microenvironments
10.1016/j.celrep.2018.12.015 · 2018 · External reference
Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviours
10.1073/pnas.1612906114 · 2017 · External reference
Organs-on-chips with combined multi-electrode array and transepithelial electrical resistance measurement capabilities
10.1039/c7lc00412e · 2017 · External reference
Label-free and regenerative electrochemical microfluidic biosensors for continual monitoring of cell secretomes
10.1002/advs.201600522 · 2017 · External reference
Automated microfluidic platform of bead-based electrochemical immunosensor integrated with bioreactor for continual monitoring of cell secreted biomarkers
10.1038/srep24598 · 2016 · External reference
Monitoring of microphysiological systems: integrating sensors and real-time data analysis toward autonomous decision-making
10.1021/acssensors.8b01549 · 2019 · External reference
Integrated technologies for continuous monitoring of organs-on-chips: current challenges and potential solutions
10.1016/j.bios.2022.115057 · 2023 · External reference
The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applications
10.1038/s41598-019-42475-5 · 2019 · External reference
3D microfluidic model for evaluating immunotherapy efficacy by tracking dendritic cell behaviour toward tumor cells
10.1038/s41598-017-01013-x · 2017 · External reference
Direct imaging and automatic analysis in tumor-on-chip reveal cooperative antitumoral activity of immune cells and oncolytic vaccinia virus
10.1016/j.bios.2022.114571 · 2022 · External reference
Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia
10.1038/s41598-021-92747-2 · 2021 · External reference
Lung cancer intravasation-on-a-chip: visualization and machine learning-assisted automatic quantification
10.1016/j.bioactmat.2025.06.028 · 2025 · External reference
Dissecting exosomal–tumoral–vascular interactions of single tumor cells and clusters using a tumoral-transendothelial migration chip
10.1021/acsnano.5c02557 · 2025 · External reference
Data-driven sustainable in vitro campaigns to decipher invasive breast cancer features
10.1021/acsbiomaterials.5c00731 · 2025 · External reference
Quantifying the brain metastatic tumour microenvironment using an Organ-on-a-Chip 3D model, machine learning, and confocal tomography
10.3791/61654 · 2020 · External reference
Recursive deep prior video: a super resolution algorithm for time-lapse microscopy of organ-on-chip experiments
10.1016/j.media.2021.102124 · 2021 · External reference
Evaluation of the morphological and biological functions of vascularized microphysiological systems with supervised machine learning
10.1007/s10439-023-03177-2 · 2023 · External reference
Machine learning chained neural network analysis of oxygen transport amplifies the physiological relevance of vascularized microphysiological systems
10.1002/btm2.10582 · 2023 · External reference
Machine learning-aided three-dimensional morphological quantification of angiogenic vasculature in the multiculture microfluidic platform
10.1007/s13206-023-00114-2 · 2023 · External reference
Predicting cell behaviour parameters from glioblastoma on a chip images. a deep learning approach
10.1016/j.compbiomed.2021.104547 · 2021 · External reference
Human skeletal muscle cell atlas: unraveling cellular secrets utilizing ‘muscle-on-a-chip’, differential expansion microscopy, mass spectrometry, nanothermometry and machine learning
10.1016/j.micron.2018.11.002 · 2019 · External reference
A storm in a teacup—a biomimetic lung microphysiological system in conjunction with a deep-learning algorithm to monitor lung pathological and inflammatory reactions
10.1016/j.bios.2022.114772 · 2023 · External reference
Single molecule studies of dynamic platelet interactions with endothelial cells
10.3389/fbioe.2024.1372807 · 2024 · External reference
Curated data in: trustworthy in silico models out: the impact of data quality on the reliability of artificial intelligence models as alternatives to animal testing
10.1177/02611929211029635 · 2021 · External reference
Analyzing angiogenesis on a chip using deep learning-based image processing
10.1039/d2lc00983h · 2023 · External reference
An ischemic stroke-on-a-chip model integrated with machine learning for screening of drug candidates
10.1039/d5lc00517e · 2025 · External reference
A high-throughput biomimetic bone-on-a-chip platform with artificial intelligence-assisted image analysis for osteoporosis drug testing
10.1002/btm2.10313 · 2023 · External reference
Label-free estimation of therapeutic efficacy on 3D cancer spheres using convolutional neural network image analysis
10.1021/acs.analchem.9b03896 · 2019 · External reference
Prediction of anticancer drug resistance using a 3D microfluidic bladder cancer model combined with convolutional neural network-based image analysis
10.3389/fbioe.2023.1302983 · 2024 · External reference
Integration of a microfluidic multicellular coculture array with machine learning analysis to predict adverse cutaneous drug reactions
10.1039/d1lc01140e · 2022 · External reference
Development of an in vitro assessment method for chemotherapy-induced peripheral neuropathy (CIPN) by integrating a microphysiological system (MPS) with morphological deep learning of soma and axonal images
10.3390/toxics11100848 · 2023 · External reference
Development of a novel microphysiological system for peripheral neurotoxicity prediction using human iPSC-derived neurons with morphological deep learning
10.3390/toxics12110809 · 2024 · External reference
Organ-on-a-Chip meets artificial intelligence in drug evaluation
10.7150/thno.87266 · 2023 · External reference
Reinforcement learning for dynamic microfluidic control
10.1021/acsomega.8b01485 · 2018 · External reference
Artificial intelligence-based classification of peripheral blood nucleated cells using label-free imaging flow cytometry
10.1039/d2lc00166g · 2022 · External reference
Real-time image processing for microscopy-based label-free imaging flow cytometry in a microfluidic chip
10.1038/s41598-017-11534-0 · 2017 · External reference
Intelligent image-activated cell sorting
10.1016/j.cell.2018.08.028 · 2018 · External reference
Intelligent image-activated cell sorting 2.0
10.1039/d0lc00080a · 2020 · External reference
Deep cytometry: deep learning with real-time inference in cell sorting and flow cytometry
10.1038/s41598-019-47193-6 · 2019 · External reference
Deep learning guided image-based droplet sorting for on-demand selection and analysis of single cells and 3D cell cultures
10.1039/d0lc00055h · 2020 · External reference
Machine learning based real-time image-guided cell sorting and classification
10.1002/cyto.a.23764 · 2019 · External reference
Image-based single cell sorting automation in droplet microfluidics
10.1038/s41598-020-65483-2 · 2020 · External reference
User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm
10.1039/d0lc00747a · 2021 · External reference
In silico-labeled ghost cytometry
10.7554/elife.67660 · 2021 · External reference
OrganoID: a versatile deep learning platform for tracking and analysis of single-organoid dynamics
10.1371/journal.pcbi.1010584 · 2022 · External reference
Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented bayesian filtering
10.1117/1.jmi.5.2.024005 · 2018 · External reference
Intelligent routes to the controlled synthesis of nanoparticles
10.1039/b711412e · 2007 · External reference
Fast and reliable metamodelling of complex reaction spaces using universal kriging
10.1021/jp506259k · 2014 · External reference
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
10.1038/s41592-024-02244-3 · 2024 · External reference
Adoption of reinforcement learning for the intelligent control of a microfluidic peristaltic pump
10.1063/5.0032377 · 2021 · External reference
Integration of reinforcement learning to realize functional variability of microfluidic systems
10.1063/5.0087079 · 2022 · External reference
Toward secure microfluidic fully programmable valve array biochips
10.1109/tvlsi.2019.2924915 · 2019 · External reference
Feedback in flow for accelerated reaction development
10.1021/acs.accounts.6b00261 · 2016 · External reference
Online detection and automation methods in microfluidic nanomaterial synthesis
10.1016/j.coche.2015.01.007 · 2015 · External reference
Online monitoring and analysis for autonomous continuous flow self-optimizing reactor systems
10.1039/c5re00038f · 2016 · External reference
An automated microfluidic system for online optimization in chemical synthesis
10.1021/op100123e · 2010 · External reference
An integrated microreactor system for self-optimization of a heck reaction: from micro-to mesoscale flow systems
10.1002/anie.201002590 · 2010 · External reference
U-net: convolutional networks for biomedical image segmentation
10.1007/978-3-319-24574-4_28 · 2015 · External reference
Deep learning automates the quantitative analysis of individual cells in live-cell imaging experiments
10.1371/journal.pcbi.1005177 · 2016 · External reference
Usiigaci: instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning
10.1016/j.softx.2019.02.007 · 2019 · External reference
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
10.1038/s41551-019-0362-y · 2019 · External reference
Deep learning-enabled virtual histological staining of biological samples
10.1038/s41377-023-01104-7 · 2023 · External reference
DetecDiv, a generalist deep-learning platform for automated cell division tracking and survival analysis
10.7554/elife.79519 · 2022 · External reference
Reconstructing cell cycle and disease progression using deep learning
10.1038/s41467-017-00623-3 · 2017 · External reference
DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networks
10.15252/msb.20209474 · 2020 · External reference
Cell cycle stage classification using phase imaging with computational specificity
10.1021/acsphotonics.1c01779 · 2022 · External reference
Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization
10.1039/d1lc00755f · 2022 · External reference
Automated biophysical classification of apoptotic pancreatic cancer cell subpopulations by using machine learning approaches with impedance cytometry
10.1039/d2lc00304j · 2022 · External reference
CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning
10.1039/c9lc00695h · 2019 · External reference
Deep learning assisted mechanotyping of individual cells through repeated deformations and relaxations in undulating channels
10.1063/5.0077432 · 2022 · External reference
Assessing red blood cell deformability from microscopy images using deep learning
10.1039/d1lc01006a · 2022 · External reference
Microfluidics guided by deep learning for cancer immunotherapy screening
10.1073/pnas.2214569119 · 2022 · External reference
Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications
10.1038/s41598-024-52007-5 · 2024 · External reference
Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images
10.1016/j.bspc.2019.01.002 · 2019 · External reference
Complementary performances of convolutional and capsule neural networks on classifying microfluidic images of dividing yeast cells
10.1371/journal.pone.0246988 · 2021 · External reference
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks
10.1038/s41598-018-22181-4 · 2018 · External reference
Prospective identification of hematopoietic lineage choice by deep learning
10.1038/nmeth.4182 · 2017 · External reference
OrganoidTracker: efficient cell tracking using machine learning and manual error correction
10.1371/journal.pone.0240802 · 2020 · External reference
Tracking cell lineages in 3D by incremental deep learning
10.7554/elife.69380 · 2022 · External reference
Automated deep lineage tree analysis using a bayesian single cell tracking approach
10.3389/fcomp.2021.734559 · 2021 · External reference
Sickle cell disease biochip: a functional red blood cell adhesion assay for monitoring sickle cell disease
10.1016/j.trsl.2016.03.008 · 2016 · External reference
Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin
10.1371/journal.pcbi.1008946 · 2021 · External reference
Automated evaluation of tumor spheroid behaviour in 3D culture using deep learning-based recognition
10.1016/j.biomaterials.2021.120770 · 2021 · External reference
Label-free, high-throughput holographic screening and enumeration of tumor cells in blood
10.1039/c7lc00149e · 2017 · External reference
Diagnosis of sepsis from a drop of blood by measurement of spontaneous neutrophil motility in a microfluidic assay
10.1038/s41551-018-0208-z · 2018 · External reference
Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning
10.1038/s41598-017-12378-4 · 2017 · External reference
Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia
10.1039/c8lc01370e · 2019 · External reference
Intelligent classification of platelet aggregates by agonist type
10.7554/elife.52938 · 2020 · External reference
Development of an AI model for DILI-level prediction using liver organoid brightfield images
10.1038/s42003-025-08205-6 · 2025 · External reference
Deep learning for drug discovery and cancer research: automated analysis of vascularization images
10.1109/tcbb.2018.2841396 · 2019 · External reference
Anti-senescent drug screening by deep learning-based morphology senescence scoring
10.1038/s41467-020-20213-0 · 2021 · External reference
Deep learning based multimodal biomedical data fusion: an overview and comparative review
10.1016/j.inffus.2024.102536 · 2024 · External reference
