AIMC Topic: Cell Line
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A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds.
Biofabrication
Jul 25, 2024
3D (Bio)printing is a highly effective method for fabricating tissue engineering scaffolds, renowned for their exceptional precision and control. Artificial intelligence (AI) has become a crucial technology in this field, capable of learning and repl...
Cytopathic Effect Detection and Clonal Selection using Deep Learning.
Pharmaceutical research
Jul 24, 2024
PURPOSE: In biotechnology, microscopic cell imaging is often used to identify and analyze cell morphology and cell state for a variety of applications. For example, microscopy can be used to detect the presence of cytopathic effects (CPE) in cell cul...
Optimizing 5'UTRs for mRNA-delivered gene editing using deep learning.
Nature communications
Jun 20, 2024
mRNA therapeutics are revolutionizing the pharmaceutical industry, but methods to optimize the primary sequence for increased expression are still lacking. Here, we design 5'UTRs for efficient mRNA translation using deep learning. We perform polysome...
EPI-Trans: an effective transformer-based deep learning model for enhancer promoter interaction prediction.
BMC bioinformatics
Jun 18, 2024
BACKGROUND: Recognition of enhancer-promoter Interactions (EPIs) is crucial for human development. EPIs in the genome play a key role in regulating transcription. However, experimental approaches for classifying EPIs are too expensive in terms of eff...
A versatile automated pipeline for quantifying virus infectivity by label-free light microscopy and artificial intelligence.
Nature communications
Jun 15, 2024
Virus infectivity is traditionally determined by endpoint titration in cell cultures, and requires complex processing steps and human annotation. Here we developed an artificial intelligence (AI)-powered automated framework for ready detection of vir...
Respiratory Syncytial Virus Vaccine Design Using Structure-Based Machine-Learning Models.
Viruses
May 22, 2024
When designing live-attenuated respiratory syncytial virus (RSV) vaccine candidates, attenuating mutations can be developed through biologic selection or reverse-genetic manipulation and may include point mutations, codon and gene deletions, and geno...
Visualization strategies to aid interpretation of high-dimensional genotoxicity data.
Environmental and molecular mutagenesis
May 17, 2024
This article describes a range of high-dimensional data visualization strategies that we have explored for their ability to complement machine learning algorithm predictions derived from MultiFlow® assay results. For this exercise, we focused on seve...
Predicting Transcription Factor Binding Sites with Deep Learning.
International journal of molecular sciences
May 3, 2024
Prediction of binding sites for transcription factors is important to understand how the latter regulate gene expression and how this regulation can be modulated for therapeutic purposes. A consistent number of references address this issue with diff...
Target Cell Extraction and Spectrum-Effect Relationship Coupled with BP Neural Network Classification for Screening Potential Bioactive Components in Ginseng Extract with a Protective Effect against Myocardial Damage.
Molecules (Basel, Switzerland)
Apr 28, 2024
Cardiovascular disease has become a common ailment that endangers human health, having garnered widespread attention due to its high prevalence, recurrence rate, and sudden death risk. Ginseng possesses functions such as invigorating vital energy, en...
Machine learning-based 3D segmentation of mitochondria in polarized epithelial cells.
Mitochondrion
Apr 9, 2024
Mitochondria are dynamic organelles that alter their morphological characteristics in response to functional needs. Therefore, mitochondrial morphology is an important indicator of mitochondrial function and cellular health. Reliable segmentation of ...
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