ReviewBiosensors2023
The Synergy between Deep Learning and Organs-on-Chips for High-Throughput Drug Screening: A Review.
Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- A label-free and highly sensitive fluorescence aptasensor for enrofloxacin detection based on G-triplex-mediated signal amplification.Analytical and bioanalytical chemistry · 2026Article
- Engineered Neutrophils in Translational Medicine: Gene Editing, Nanotechnology, and AI-Driven Clinical Breakthroughs.Advanced healthcare materials · 2026Review
- Engineering skin microphysiological systems for transdermal drug screening based on strategic model selection and quantitative prediction roadmaps.Materials today. Bio · 2026Review
- Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026Review
- Engineering biomimetic tissue barrier models on chips: From design and fabrication to applications in disease modeling and drug screening.Biomaterials · 2026Review
- Advances and applications of organ-on-a-chip technology.Cell reports methods · 2026Review
- Organs-on-Chips in Drug Development: Engineering Foundations, Artificial Intelligence, and Clinical Translation.Biosensors · 2026Review
- AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip.Acta pharmaceutica Sinica. B · 2026Review
- Tumor-on-chip's alliance with molecular pathology against metastatic disease.Journal of biomedical science · 2026Review
- Research progress of artificial intelligence in high-throughput drug screening.Frontiers in pharmacology · 2026Review
- The role of 3D printing in skeletal muscle-on-a-chip models: Current applications and future potential.Materials today. Bio · 2025Article
- Brain organoids-on-chip for neural diseases modeling: History, challenges and trends.Journal of pharmaceutical analysis · 2025Review
- Developments and Applications of Liver-on-a-Chip Technology-Current Status and Future Prospects.Biomedicines · 2025Review
- Review
- Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024Review
- The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?Molecules (Basel, Switzerland) · 2024Review
- A holistic analysis of the intrinsic and delivery-mediated toxicity of siRNA therapeutics.Advanced drug delivery reviews · 2023Review
- Bio-Inspired Nanomaterials for Micro/Nanodevices: A New Era in Biomedical Applications.Micromachines · 2023Review
- Taking the 3Rs to a higher level: replacement and reduction of animal testing in life sciences in space research.Biotechnology advancesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Organs-on-chips (OoCs) are miniature microfluidic systems that have arguably become a class of advanced in vitro models. Deep learning, as an emerging topic in machine learning, has the ability to extract a hidden statistical relationship from the input data. Recently, these two areas have become integrated to achieve synergy for accelerating drug screening. This review provides a brief description of the basic concepts of deep learning used in OoCs and exemplifies the successful use cases for different types of OoCs. These microfluidic chips are of potential to be assembled as highly potent human-on-chips with complex physiological or pathological functions. Finally, we discuss the future supply with perspectives and potential challenges in terms of combining OoCs and deep learning for image processing and automation designs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.