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   Articles with "drug sensitivity" as a keyword



DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals

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recommendations! Published in 2025 at "Advanced Science"

DOI: 10.1002/advs.202416958

Abstract: Accurate characterization of cellular states is the foundation for precise prediction of drug sensitivity in cancer cell lines, which in turn is fundamental to realizing precision oncology. However, current deep learning approaches have limitations in… read more here.

Keywords: deep learning; cancer; drug; cancer cell ... See more keywords

Rapid Microfluidic Drug Sensitivity Testing Within 5 Days Using Minimal Clinical Tumor Samples.

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recommendations! Published in 2025 at "Advanced science"

DOI: 10.1002/advs.202511065

Abstract: Rapid screening of personalized drugs based on patients' primary cell samples can provide precise and timely treatment guidance for clinical oncology patients. However, this goal faces great challenges due to the scarce clinical samples and… read more here.

Keywords: microfluidic drug; drug; tumor; drug sensitivity ... See more keywords
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In vitro drug sensitivity (IDS) of patient-derived primary osteosarcoma cells as an early predictor of the clinical outcomes of osteosarcoma patients

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recommendations! Published in 2020 at "Cancer Chemotherapy and Pharmacology"

DOI: 10.1007/s00280-020-04081-5

Abstract: Purpose Early prediction of clinical response to conventional chemotherapy is a significant factor in determining an overall treatment strategy for osteosarcoma. Methods Cells were extracted from treatment-naïve biopsies from 16 osteosarcoma patients who received a… read more here.

Keywords: clinical outcomes; sensitivity ids; vitro drug; primary osteosarcoma ... See more keywords
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Letter to the Editor concerning “Drug sensitivity patterns in Xpert-positive spinal tuberculosis: an observational study of 252 patients” by Upadhyay M, et al. [Eur Spine J (2020) 29:1476–1482]

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recommendations! Published in 2020 at "European Spine Journal"

DOI: 10.1007/s00586-020-06584-4

Abstract: We read with great interest the recent article by Upadhyay et al. on drug sensitivity patterns in Xpert-positive spinal tuberculosis published in this journal [1]. We congratulate the authors for addressing this important topic—drug-resistant tuberculosis… read more here.

Keywords: group; drug; tuberculosis; resistance ... See more keywords

Analysis of drug sensitivity of Escherichia Coli O157H7.

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recommendations! Published in 2021 at "Biomedical microdevices"

DOI: 10.1007/s10544-021-00565-0

Abstract: Sensitive and rapid tests of Escherichia coli drug sensitivity is very important for health of human and animals. An E. coli immunosensor was built based on electrochemical detection and immune detection technologies, through pretreating screen-printed… read more here.

Keywords: escherichia coli; detection; detection system; drug sensitivity ... See more keywords

Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxel in ovarian granulosa cell tumor cells.

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recommendations! Published in 2017 at "Gynecologic oncology"

DOI: 10.1016/j.ygyno.2016.12.016

Abstract: OBJECTIVE Resistance to standard chemotherapy poses a major clinical problem in the treatment of ovarian cancer patients. Adult-type granulosa cell tumor (AGCT) is a unique ovarian cancer subtype for which efficient treatment options are lacking… read more here.

Keywords: dasatinib mtor; granulosa; drug; sensitivity ... See more keywords
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Integrin Subtypes and Nanoscale Ligand Presentation Influence Drug Sensitivity in Cancer Cells

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recommendations! Published in 2020 at "Nano Letters"

DOI: 10.1021/acs.nanolett.9b04607

Abstract: Cancer cell–matrix interactions have been shown to enhance cancer cell survival via the activation of pro-survival signaling pathways. These pathways are initiated at the site of interaction, i.e., integrins, and thus, their inhibition has been… read more here.

Keywords: drug sensitivity; drug; cancer cell; cancer ... See more keywords

Learning and actioning general principles of cancer cell drug sensitivity

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recommendations! Published in 2025 at "Nature Communications"

DOI: 10.1038/s41467-025-56827-5

Abstract: High-throughput screening of drug sensitivity of cancer cell lines (CCLs) holds the potential to unlock anti-tumor therapies. In this study, we leverage such datasets to predict drug response using cell line transcriptomics, focusing on models’… read more here.

Keywords: cancer; cell drug; drug; cancer cell ... See more keywords

Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer

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recommendations! Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-52093-w

Abstract: We present the Network-based Biased Tree Ensembles (NetBiTE) method for drug sensitivity prediction and drug sensitivity biomarker identification in cancer using a combination of prior knowledge and gene expression data. Our devised method consists of… read more here.

Keywords: network; tree ensembles; biased tree; drug ... See more keywords

Reliable anti-cancer drug sensitivity prediction and prioritization

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-62956-6

Abstract: The application of machine learning (ML) to solve real-world problems does not only bear great potential but also high risk. One fundamental challenge in risk mitigation is to ensure the reliability of the ML predictions,… read more here.

Keywords: sensitivity prediction; prioritization; drug; prediction ... See more keywords

A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-06544-2

Abstract: In this paper, we introduce QProteoML, a new quantum machine learning (QML) framework for predicting drug sensitivity in Multiple Myeloma (MM) using high-dimensional proteomic data. MM, an extremely heterogeneous condition, displays often mixed responses to… read more here.

Keywords: drug; quantum; drug sensitivity; machine learning ... See more keywords