AIMC Topic: Cells, Cultured
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Enhanced drug classification using machine learning with multiplexed cardiac contractility assays.
Pharmacological research
Oct 11, 2024
Cardiac screening of newly discovered drugs remains a longstanding challenge for the pharmaceutical industry. While therapeutic efficacy and cardiotoxicity are evaluated through preclinical biochemical and animal testing, 90 % of lead compounds fail ...
Real-time hardware emulation of neural cultures: A comparative study of in vitro, in silico and in duris silico models.
Neural networks : the official journal of the International Neural Network Society
Aug 5, 2024
Biological neural networks are well known for their capacity to process information with extremely low power consumption. Fields such as Artificial Intelligence, with high computational costs, are seeking for alternatives inspired in biological syste...
Aberrant migration features in primary skin fibroblasts of Huntington's disease patients hold potential for unraveling disease progression using an image based machine learning tool.
Computers in biology and medicine
Aug 2, 2024
Huntington's disease (HD) is a complex neurodegenerative disorder with considerable heterogeneity in clinical manifestations. While CAG repeat length is a known predictor of disease severity, this heterogeneity suggests the involvement of additional ...
Protocol for machine-learning-based 3D image analysis of nuclear envelope tubules in cultured cells.
STAR protocols
Jul 31, 2024
The nuclear envelope can form complex structures in physiological and pathological contexts. Current approaches to quantify nuclear envelope structures can be time-consuming or inaccurate. Here, we present a protocol to measure nuclear envelope tubul...
Machine learning approach for recognition and morphological analysis of isolated astrocytes in phase contrast microscopy.
Scientific reports
Apr 29, 2024
Astrocytes are glycolytically active cells in the central nervous system playing a crucial role in various brain processes from homeostasis to neurotransmission. Astrocytes possess a complex branched morphology, frequently examined by fluorescent mic...
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 ...
Machine learning aided single cell image analysis improves understanding of morphometric heterogeneity of human mesenchymal stem cells.
Methods (San Diego, Calif.)
Mar 13, 2024
The multipotent stem cells of our body have been largely harnessed in biotherapeutics. However, as they are derived from multiple anatomical sources, from different tissues, human mesenchymal stem cells (hMSCs) are a heterogeneous population showing ...
Prediction of six macrophage phenotypes and their IL-10 content based on single-cell morphology using artificial intelligence.
Frontiers in immunology
Jan 4, 2024
INTRODUCTION: The last decade has led to rapid developments and increased usage of computational tools at the single-cell level. However, our knowledge remains limited in how extracellular cues alter quantitative macrophage morphology and how such mo...
Morphology-based deep learning enables accurate detection of senescence in mesenchymal stem cell cultures.
BMC biology
Jan 2, 2024
BACKGROUND: Cell senescence is a sign of aging and plays a significant role in the pathogenesis of age-related disorders. For cell therapy, senescence may compromise the quality and efficacy of cells, posing potential safety risks. Mesenchymal stem c...
Mechanism of TNF- α inducing apoptosis and autophagy of chondrocytes by activating NF- κ B signal pathway.
Cellular and molecular biology (Noisy-le-Grand, France)
Dec 31, 2023
This study aimed to explore the mechanism of apoptosis and autophagy of chondrocytes induced by tumor necrosis factor α (TNA-α) by activating the NF-κB signal pathway. For this purpose, 24 SD rats were selected for feeding. The knee cartilage was cut...
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