AIMC Topic: Cells

Clear Filters Showing 1 to 10 of 23 articles

Deep learning large-scale drug discovery and repurposing.

Nature computational science Aug 21, 2024
Large-scale drug discovery and repurposing is challenging. Identifying the mechanism of action (MOA) is crucial, yet current approaches are costly and low-throughput. Here we present an approach for MOA identification by profiling changes in mitochon...
Biological Products Cell Line Drug Repositioning Deep Learning Image Processing, Computer-Assisted HEK293 Cells Cells Time-Lapse Imaging Humans Drug Discovery Pharmaceutical Preparations Mitochondria
View on PubMed DOI

Cell-type-directed design of synthetic enhancers.

Nature Dec 12, 2023
Transcriptional enhancers act as docking stations for combinations of transcription factors and thereby regulate spatiotemporal activation of their target genes. It has been a long-standing goal in the field to decode the regulatory logic of an enhan...
Animals Deep Learning Transcription Factors Humans Brain Repressor Proteins Neuroglia Enhancer Elements, Genetic Gene Expression Regulation Animals, Genetically Modified Synthetic Biology Drosophila melanogaster Cells
View on PubMed DOI

A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation.

IEEE transactions on medical imaging May 2, 2023
Microscopy cell segmentation is a crucial step in biological image analysis and a challenging task. In recent years, deep learning has been widely used to tackle this task, with promising results. A critical aspect of training complex neural networks...
Image Processing, Computer-Assisted Microscopy Cells Deep Learning
View on PubMed DOI

Will microfluidics enable functionally integrated biohybrid robots?

Proceedings of the National Academy of Sciences of the United States of America Aug 24, 2022
The next robotics frontier will be led by biohybrids. Capable biohybrid robots require microfluidics to sustain, improve, and scale the architectural complexity of their core ingredient: biological tissues. Advances in microfluidics have already revo...
Cells Microfluidics Biomimetic Materials Robotics
View on PubMed DOI

Cell Recognition Using BP Neural Network Edge Computing.

Contrast media & molecular imaging Jul 12, 2022
This exploration is to solve the efficiency and accuracy of cell recognition in biological experiments. Neural network technology is applied to the research of cell image recognition. The cell image recognition problem is solved by constructing an im...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Cells Reproducibility of Results
View on PubMed DOI

Automated human cell classification in sparse datasets using few-shot learning.

Scientific reports Feb 21, 2022
Classifying and analyzing human cells is a lengthy procedure, often involving a trained professional. In an attempt to expedite this process, an active area of research involves automating cell classification through use of deep learning-based techni...
Datasets as Topic Cells Feasibility Studies Cytological Techniques Humans Deep Learning
View on PubMed DOI

Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.

The American journal of pathology Jun 12, 2021
With applications in object detection, image feature extraction, image classification, and image segmentation, artificial intelligence is facilitating high-throughput analysis of image data in a variety of biomedical imaging disciplines, ranging from...
Microscopy Artificial Intelligence Animals Organ Specificity Humans Deep Learning Cells Image Processing, Computer-Assisted
View on PubMed DOI

Hierarchical progressive learning of cell identities in single-cell data.

Nature communications May 14, 2021
Supervised methods are increasingly used to identify cell populations in single-cell data. Yet, current methods are limited in their ability to learn from multiple datasets simultaneously, are hampered by the annotation of datasets at different resol...
Supervised Machine Learning Databases, Factual Humans Cells Brain Deep Learning Software Single-Cell Analysis Animals Computer Simulation Mice Leukocytes, Mononuclear
View on PubMed DOI

Image-based phenotyping of disaggregated cells using deep learning.

Communications biology Nov 13, 2020
The ability to phenotype cells is fundamentally important in biological research and medicine. Current methods rely primarily on fluorescence labeling of specific markers. However, there are many situations where this approach is unavailable or undes...
Single-Cell Analysis Image Processing, Computer-Assisted Cells Humans Deep Learning Microscopy, Fluorescence Phenotype Intracellular Space Cell Line, Tumor
View on PubMed DOI

Learning to encode cellular responses to systematic perturbations with deep generative models.

NPJ systems biology and applications Nov 6, 2020
Cellular signaling systems play a vital role in maintaining homeostasis when a cell is exposed to different perturbations. Components of the systems are organized as hierarchical networks, and perturbing different components often leads to transcript...
Signal Transduction Models, Biological Cells Deep Learning Systems Biology
View on PubMed DOI
Popular Topics
Recent Journals