ArticleScientific reports2022
Numerical learning of deep features from drug-exposed cell images to calculate IC50 without staining.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed, 9 citations in OpenAlex.
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- Terpene-Enriched Nitazoxanide-Loaded Chondrosomes: Aerodynamic Characterization and In Silico Evaluation of Antiviral Activity.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Monocyte-hitchhiking system for the targeted delivery of paclitaxel-loaded PLGA nanoparticles to glioblastoma in mice.Journal of nanobiotechnology · 2026Article
- Synergistic Reduction of Breast Cancer Cell Viability and Aggressiveness Through Dual Inhibition of APE1 Redox Function and STAT3 Signaling.Cell biology international · 2025Article
- Synthesis and Characterization of λ-Carrageenan Oligosaccharide-Based Nanoparticles: Applications in MRI and In Vivo Biodistribution Studies.Biomacromolecules · 2025Article
- Fluorescent marker prediction for non-invasive optical imaging in bovine satellite cells using deep learning.Frontiers in artificial intelligence · 2025Article
- On Approximating theBiomedicines · 2023Article
- The Comprehensive Role of High Mobility Group Box 1 (HMGB1) Protein in Different Tumors: A Pan-Cancer Analysis.Journal of inflammation research · 2023Article
- Identification of genes from ten oncogenic pathways associated with mortality and disease progression in glioblastoma.Frontiers in oncology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To facilitate rapid determination of cellular viability caused by the inhibitory effect of drugs, numerical deep learning algorithms was used for unlabeled cell culture images captured by a light microscope as input. In this study, A549, HEK293, and NCI-H1975 cells were cultured, each of which have different molecular shapes and levels of drug responsiveness to doxorubicin (DOX). The microscopic images of these cells following exposure to various concentrations of DOX were trained with the measured value of cell viability using a colorimetric cell proliferation assay. Convolutional neural network (CNN) models for the study cells were constructed using augmented image data; the predicted cell viability using CNN models was compared to the cell viability measured by colorimetric assay. The linear relationship coefficient (r
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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.