AIMC Topic: Cell Differentiation
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Application of a deep learning-based image analysis and live-cell imaging system for quantifying adipogenic differentiation kinetics of adipose-derived stem/stromal cells.
Adipocyte
Dec 1, 2021
Quantitative methods for assessing differentiative potency of adipose-derived stem/stromal cells may lead to improved clinical application of this multipotent stem cell, by advancing our understanding of specific processes such as adipogenic differen...
Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set.
Blood
Nov 18, 2021
Biomedical applications of deep learning algorithms rely on large expert annotated data sets. The classification of bone marrow (BM) cell cytomorphology, an important cornerstone of hematological diagnosis, is still done manually thousands of times e...
Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data.
Clinical and translational medicine
Nov 1, 2021
Applying Machine Learning to Stem Cell Culture and Differentiation.
Current protocols
Sep 1, 2021
Machine learning techniques are increasingly becoming incorporated into biological research workflows in a variety of disciplines, most notably cancer research and drug discovery. Efforts in stem cell research comparatively lag behind. We detail key ...
Deep neural net tracking of human pluripotent stem cells reveals intrinsic behaviors directing morphogenesis.
Stem cell reports
May 11, 2021
Lineage tracing is a powerful tool in developmental biology to interrogate the evolution of tissue formation, but the dense, three-dimensional nature of tissue limits the assembly of individual cell trajectories into complete reconstructions of devel...
Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy.
The Journal of clinical investigation
Feb 3, 2020
Increases in the number of cell therapies in the preclinical and clinical phases have prompted the need for reliable and noninvasive assays to validate transplant function in clinical biomanufacturing. We developed a robust characterization methodolo...
Human adipose-derived mesenchymal stem cell-based medical microrobot system for knee cartilage regeneration in vivo.
Science robotics
Jan 22, 2020
Targeted cell delivery by a magnetically actuated microrobot with a porous structure is a promising technique to enhance the low targeting efficiency of mesenchymal stem cell (MSC) in tissue regeneration. However, the relevant research performed to d...
Animals
Cell Proliferation
Robotics
Cell Differentiation
Equipment Design
Robotic Surgical Procedures
Humans
Cells, Cultured
Electromagnetic Phenomena
Regeneration
Polylactic Acid-Polyglycolic Acid Copolymer
Cell Adhesion
Microscopy, Electron, Scanning
Cartilage, Articular
Cell- and Tissue-Based Therapy
Knee Joint
Tissue Scaffolds
Mesenchymal Stem Cell Transplantation
Rabbits
Mesenchymal Stem Cells
Prospect of using deep learning for predicting differentiation of myeloid progenitor cells after sepsis.
Chinese medical journal
Aug 5, 2019
web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning.
Nucleic acids research
Jul 2, 2019
More and more affordable high-throughput techniques for measuring molecular features of biomedical samples have led to a huge increase in availability and size of different types of multi-omic datasets, containing, for example, genetic or histone mod...
Quantitative Modelling of the Waddington Epigenetic Landscape.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
C.H. Waddington introduced the epigenetic landscape as a metaphor to represent cellular decision-making during development. Like a population of balls rolling down a rough hillside, developing cells follow specific trajectories (valleys) and eventual...
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