AIMC Topic: Cell Differentiation

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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...
Deep Learning Mice Animals Hematopoietic Stem Cells Multipotent Stem Cells Cell Differentiation Hematopoiesis
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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 Gene Expression Profiling Deep Learning Cell Differentiation RNA
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Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks.

BMC bioinformatics Jan 15, 2024
With the growing number of single-cell datasets collected under more complex experimental conditions, there is an opportunity to leverage single-cell variability to reveal deeper insights into how cells respond to perturbations. Many existing approac...
Neural Networks, Computer Cluster Analysis Data Visualization Cell Differentiation RNA
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Uncovering hidden treasures: Mapping morphological changes in the differentiation of human mesenchymal stem cells to osteoblasts using deep learning.

Micron (Oxford, England : 1993) Jan 8, 2024
Deep Learning (DL) is becoming an increasingly popular technology being employed in life sciences research due to its ability to perform complex and time-consuming tasks with significantly greater speed, accuracy, and reproducibility than human resea...
Reproducibility of Results Osteoblasts Deep Learning Humans Cell Differentiation Mesenchymal Stem Cells
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Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.

Journal of computational biology : a journal of computational molecular cell biology Nov 28, 2023
Intratumoral heterogeneity and the presence of cancer stem cells are challenging issues in cancer therapy. An appropriate quantification of the stemness of individual cells for assessing the potential for self-renewal and differentiation from the cel...
Single-Cell Analysis Sequence Analysis, RNA Support Vector Machine Cell Differentiation Humans Neoplasms
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Recognition and reconstruction of cell differentiation patterns with deep learning.

PLoS computational biology Oct 27, 2023
Cell lineage decisions occur in three-dimensional spatial patterns that are difficult to identify by eye. There is an ongoing effort to replicate such patterns using mathematical modeling. One approach uses long ranging cell-cell communication to rep...
Cell Differentiation Animals Deep Learning Mice Models, Theoretical Neural Networks, Computer Algorithms
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Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning.

PloS one Jun 27, 2023
BACKGROUND: In diseases such as interstitial lung diseases (ILDs), patient diagnosis relies on diagnostic analysis of bronchoalveolar lavage fluid (BALF) and biopsies. Immunological BALF analysis includes differentiation of leukocytes by standard cyt...
Leukocyte Count Bronchoalveolar Lavage Leukocytes Deep Learning Microscopy Humans Cell Differentiation Bronchoalveolar Lavage Fluid Lung Diseases, Interstitial
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Morphological feature recognition of different differentiation stages of induced ADSCs based on deep learning.

Computers in biology and medicine Apr 13, 2023
In order to accurately identify the morphological features of different differentiation stages of induced Adipose Derived Stem Cells (ADSCs) and judge the differentiation types of induced ADSCs, a morphological feature recognition method of different...
Cell Differentiation Neural Networks, Computer Deep Learning Diagnostic Imaging Image Processing, Computer-Assisted
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Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood.

BMC medical informatics and decision making Mar 29, 2023
BACKGROUND AND OBJECTIVE: Morphological identification of peripheral leukocytes is a complex and time-consuming task, having especially high requirements for personnel expertise. This study is to investigate the role of artificial intelligence (AI) i...
Leukocytes Humans Sensitivity and Specificity Cell Differentiation Artificial Intelligence
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Rapid Identification of Infectious Pathogens at the Single-Cell Level via Combining Hyperspectral Microscopic Images and Deep Learning.

Cells Jan 19, 2023
Identifying infectious pathogens quickly and accurately is significant for patients and doctors. Identifying single bacterial strains is significant in eliminating culture and speeding up diagnosis. We present an advanced optical method for the rapid...
Humans Communicable Diseases Hyperspectral Imaging Deep Learning Cell Differentiation
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