AIMC Topic: Tumor Cells, Cultured

Clear Filters Showing 1 to 10 of 29 articles

MFmap: A semi-supervised generative model matching cell lines to tumours and cancer subtypes.

PloS one Dec 16, 2021
Translating in vitro results from experiments with cancer cell lines to clinical applications requires the selection of appropriate cell line models. Here we present MFmap (model fidelity map), a machine learning model to simultaneously predict the c...
Apoptosis Humans DNA Copy Number Variations Machine Learning Glioblastoma Algorithms Gene Expression Profiling Tumor Cells, Cultured Female Computational Biology Breast Neoplasms Gene Expression Regulation, Neoplastic Biomarkers, Tumor Cell Proliferation Antineoplastic Agents
View on PubMed DOI

MISpheroID: a knowledgebase and transparency tool for minimum information in spheroid identity.

Nature methods Nov 1, 2021
Spheroids are three-dimensional cellular models with widespread basic and translational application across academia and industry. However, methodological transparency and guidelines for spheroid research have not yet been established. The MISpheroID ...
Software Reproducibility of Results Tumor Microenvironment Biomarkers, Tumor Humans Knowledge Bases Tumor Cells, Cultured Cell Culture Techniques Spheroids, Cellular Neoplasms RNA-Seq Gene Expression Regulation, Neoplastic Cell Proliferation
View on PubMed DOI

Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy.

Cancer research Oct 13, 2021
Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and identifying these patients is difficult due to a lack of reliable biomarkers for prediction and evaluation of treatment response. Here, we demonstrate th...
Tumor Cells, Cultured CTLA-4 Antigen Immune Checkpoint Inhibitors B7-H1 Antigen Machine Learning Mice Immunotherapy Tumor Microenvironment Spectrum Analysis, Raman Animals Mice, Inbred BALB C Colonic Neoplasms
View on PubMed DOI

Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines.

Scientific reports Aug 6, 2021
Computational models for drug sensitivity prediction have the potential to significantly improve personalized cancer medicine. Drug sensitivity assays, combined with profiling of cancer cell lines and drugs become increasingly available for training ...
Computer Simulation Prognosis Biomarkers, Tumor Neoplasms Humans Algorithms Deep Learning Tumor Cells, Cultured Gene Expression Regulation, Neoplastic Protein Kinase Inhibitors
View on PubMed DOI

3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images.

eLife Mar 30, 2021
Despite recent improvements in microscope technologies, segmenting and tracking cells in three-dimensional time-lapse images (3D + T images) to extract their dynamic positions and activities remains a considerable bottleneck in the field. We develope...
Zebrafish Tumor Cells, Cultured Spheroids, Cellular Caenorhabditis elegans Imaging, Three-Dimensional Image Processing, Computer-Assisted Heart Cell Tracking Time-Lapse Imaging Brain Animals Deep Learning
View on PubMed DOI

Molecular imaging and deep learning analysis of uMUC1 expression in response to chemotherapy in an orthotopic model of ovarian cancer.

Scientific reports Sep 10, 2020
Artificial Intelligence (AI) algorithms including deep learning have recently demonstrated remarkable progress in image-recognition tasks. Here, we utilized AI for monitoring the expression of underglycosylated mucin 1 (uMUC1) tumor antigen, a biomar...
Humans Artificial Intelligence Female Animals Antineoplastic Agents Molecular Imaging Mice, Nude Deep Learning Xenograft Model Antitumor Assays Apoptosis Mice Mucin-1 Ovarian Neoplasms Cell Proliferation Tumor Cells, Cultured Docetaxel
View on PubMed DOI

Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study.

Scientific reports Jul 6, 2020
The last two decades saw the establishment of three-dimensional (3D) cell cultures as an acknowledged tool to investigate cell behaviour in a tissue-like environment. Cells growing in spheroids differentiate and develop different characteristics in c...
Tumor Cells, Cultured Spheroids, Cellular Cell Survival Humans Drug Screening Assays, Antitumor Pharmaceutical Preparations Feasibility Studies Neural Networks, Computer Neoplasms Deep Learning
View on PubMed DOI

Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells.

eLife Jun 23, 2020
A goal of cancer research is to reveal cell subsets linked to continuous clinical outcomes to generate new therapeutic and biomarker hypotheses. We introduce a machine learning algorithm, Risk Assessment Population IDentification (RAPID), that is uns...
Tumor Cells, Cultured Pilot Projects Unsupervised Machine Learning Glioblastoma Humans Algorithms
View on PubMed DOI

Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks.

Biomolecules Jun 19, 2020
Deep-learning workflows of microscopic image analysis are sufficient for handling the contextual variations because they employ biological samples and have numerous tasks. The use of well-defined annotated images is important for the workflow. Cancer...
Tumor Cells, Cultured Image Processing, Computer-Assisted Female Green Fluorescent Proteins Mice, Nude Lung Neoplasms Animals Mice, Inbred BALB C Mice Deep Learning Optical Imaging Neoplastic Stem Cells
View on PubMed DOI

How to Apply Supervised Machine Learning Tools to MS Imaging Files: Case Study with Cancer Spheroids Undergoing Treatment with the Monoclonal Antibody Cetuximab.

Journal of the American Society for Mass Spectrometry Jun 10, 2020
As the field of mass spectrometry imaging continues to grow, so too do its needs for optimal methods of data analysis. One general need in image analysis is the ability to classify the underlying regions within an image, as healthy or diseased, for e...
Humans Tumor Cells, Cultured Neoplasms Spheroids, Cellular Image Processing, Computer-Assisted Mass Spectrometry Cetuximab Metabolome Supervised Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals