AIMC Topic: Cell Differentiation

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Real-time monitoring of single dendritic cell maturation using deep learning-assisted surface-enhanced Raman spectroscopy.

Theranostics Oct 14, 2024
Dynamic real-time detection of dendritic cell (DC) maturation is pivotal for accurately predicting immune system activation, assessing vaccine efficacy, and determining the effectiveness of immunotherapy. The heterogeneity of cells underscores the s...
Dendritic Cells Animals Single-Cell Analysis Deep Learning Spectrum Analysis, Raman Cell Differentiation Gold Humans Neural Networks, Computer
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Deep learning for quantifying spatial patterning and formation process of early differentiated human-induced pluripotent stem cells with micropattern images.

Journal of microscopy Jul 12, 2024
Micropatterning is reliable method for quantifying pluripotency of human-induced pluripotent stem cells (hiPSCs) that differentiate to form a spatial pattern of sorted, ordered and nonoverlapped three germ layers on the micropattern. In this study, w...
Cell Differentiation Humans Induced Pluripotent Stem Cells Germ Layers Deep Learning Image Processing, Computer-Assisted
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MyoFInDer: An AI-Based Tool for Myotube Fusion Index Determination.

Tissue engineering. Part A Jun 27, 2024
The fusion index is a key indicator for quantifying the differentiation of a myoblast population, which is often calculated manually. In addition to being time-consuming, manual quantification is also error prone and subjective. Several software tool...
Muscle Fibers, Skeletal Humans Animals Artificial Intelligence Image Processing, Computer-Assisted Software Mice Cell Fusion Cell Differentiation
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SIMS: A deep-learning label transfer tool for single-cell RNA sequencing analysis.

Cell genomics May 31, 2024
Cell atlases serve as vital references for automating cell labeling in new samples, yet existing classification algorithms struggle with accuracy. Here we introduce SIMS (scalable, interpretable machine learning for single cell), a low-code data-effi...
Humans Deep Learning Single-Cell Analysis Mice Brain Animals Neurons Organoids Sequence Analysis, RNA Cell Differentiation
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Detection of biomagnetic signals from induced pluripotent stem cell-derived cardiomyocytes using deep learning with simulation data.

Scientific reports Mar 27, 2024
The detection of spontaneous magnetic signals can be used for the non-invasive electrophysiological evaluation of induced pluripotent stem cell-derived cardiomyocytes (iPS-CMs). We report that deep learning with a dataset that combines magnetic signa...
Induced Pluripotent Stem Cells Isoproterenol Myocytes, Cardiac Cell Differentiation Drug Evaluation, Preclinical Animals Deep Learning Mice
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Deep Learning Powered Identification of Differentiated Early Mesoderm Cells from Pluripotent Stem Cells.

Cells Mar 18, 2024
Pluripotent stem cells can be differentiated into all three germ-layers including ecto-, endo-, and mesoderm in vitro. However, the early identification and rapid characterization of each germ-layer in response to chemical and physical induction of d...
Animals Mice Cell Differentiation Deep Learning Germ Layers Pluripotent Stem Cells Mesoderm
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Early Predicting Osteogenic Differentiation of Mesenchymal Stem Cells Based on Deep Learning Within One Day.

Annals of biomedical engineering Mar 15, 2024
Osteogenic differentiation of mesenchymal stem cells (MSCs) is proposed to be critical for bone tissue engineering and regenerative medicine. However, the current approach for evaluating osteogenic differentiation mainly involves immunohistochemical ...
Osteogenesis Mesenchymal Stem Cells Neural Networks, Computer Cells, Cultured Deep Learning Cell Differentiation Humans Animals
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A neural network-based model framework for cell-fate decisions and development.

Communications biology Mar 14, 2024
Gene regulatory networks (GRNs) fulfill the essential function of maintaining the stability of cellular differentiation states by sustaining lineage-specific gene expression, while driving the progression of development. However, accounting for the r...
Cell Differentiation Neural Networks, Computer Gene Regulatory Networks
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Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors.

Stem cell research & therapy Mar 13, 2024
BACKGROUND: Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long...
Multipotent Stem Cells Hematopoiesis Hematopoietic Stem Cells Animals Mice Cell Differentiation Deep Learning
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DeepVelo: deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics.

Genome biology Jan 19, 2024
Existing RNA velocity estimation methods strongly rely on predefined dynamics and cell-agnostic constant transcriptional kinetic rates, assumptions often violated in complex and heterogeneous single-cell RNA sequencing (scRNA-seq) data. Using a graph...
Single-Cell Analysis Sequence Analysis, RNA Cell Differentiation Gene Expression Profiling RNA Deep Learning
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