AIMC Topic: Cells, Cultured
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A machine learning approach to predict cellular mechanical stresses in response to chemical perturbation.
Biophysical journal
Jul 25, 2023
Mechanical stresses generated at the cell-cell level and cell-substrate level have been suggested to be important in a host of physiological and pathological processes. However, the influence various chemical compounds have on the mechanical stresses...
Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning.
Biochemical and biophysical research communications
Oct 1, 2022
The number of patients with heart failure and related deaths is rapidly increasing worldwide, making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure, but its treatment has not yet been fully successful. In this ...
DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging.
The Journal of cell biology
Aug 5, 2022
Membrane contact site (MCS)-mediated organelle interactions play essential roles in the cell. Quantitative analysis of MCSs reveals vital clues for cellular responses under various physiological and pathological conditions. However, an efficient tool...
Cross-tissue immune cell analysis reveals tissue-specific features in humans.
Science (New York, N.Y.)
May 13, 2022
Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult donors by single-cell RNA sequencing and VDJ sequencing generating a ...
Raster plots machine learning to predict the seizure liability of drugs and to identify drugs.
Scientific reports
Feb 10, 2022
In vitro microelectrode array (MEA) assessment using human induced pluripotent stem cell (iPSC)-derived neurons holds promise as a method of seizure and toxicity evaluation. However, there are still issues surrounding the analysis methods used to pre...
Toxicity Tests
Microelectrodes
Induced Pluripotent Stem Cells
Male
Middle Aged
Dose-Response Relationship, Drug
Seizures
Pharmaceutical Preparations
Liability, Legal
Forecasting
Drug-Related Side Effects and Adverse Reactions
Cells, Cultured
Humans
Female
Neural Networks, Computer
Adult
Machine Learning
Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences.
PloS one
Feb 2, 2022
Assessing and selecting the most viable embryos for transfer is an essential part of in vitro fertilization (IVF). In recent years, several approaches have been made to improve and automate the procedure using artificial intelligence (AI) and deep le...
Morphological features of single cells enable accurate automated classification of cancer from non-cancer cell lines.
Scientific reports
Dec 21, 2021
Accurate cancer detection and diagnosis is of utmost importance for reliable drug-response prediction. Successful cancer characterization relies on both genetic analysis and histological scans from tumor biopsies. It is known that the cytoskeleton is...
CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data.
PLoS computational biology
Dec 13, 2021
Cis-Regulatory elements (cis-REs) include promoters, enhancers, and insulators that regulate gene expression programs via binding of transcription factors. ATAC-seq technology effectively identifies active cis-REs in a given cell type (including from...
EnTSSR: A Weighted Ensemble Learning Method to Impute Single-Cell RNA Sequencing Data.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2021
The advancements of single-cell RNA sequencing (scRNA-seq) technologies have provided us unprecedented opportunities to characterize cellular states and investigate the mechanisms of complex diseases. Due to technical issues such as dropout events, s...
Robotic high-throughput biomanufacturing and functional differentiation of human pluripotent stem cells.
Stem cell reports
Dec 2, 2021
Efficient translation of human induced pluripotent stem cells (hiPSCs) requires scalable cell manufacturing strategies for optimal self-renewal and functional differentiation. Traditional manual cell culture is variable and labor intensive, posing ch...
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