AIMC Topic: Cell Movement
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Machine-Learning Provides Patient-Specific Prediction of Metastatic Risk Based on Innovative, Mechanobiology Assay.
Annals of biomedical engineering
Jan 22, 2021
Cancer mortality is mostly related to metastasis. Metastasis is currently prognosed via histopathology, disease-statistics, or genetics; those are potentially inaccurate, not rapidly available and require known markers. We had developed a rapid (~ 2 ...
Establishment of a morphological atlas of the Caenorhabditis elegans embryo using deep-learning-based 4D segmentation.
Nature communications
Dec 7, 2020
The invariant development and transparent body of the nematode Caenorhabditis elegans enables complete delineation of cell lineages throughout development. Despite extensive studies of cell division, cell migration and cell fate differentiation, cell...
Detection of cellular micromotion by advanced signal processing.
Scientific reports
Nov 18, 2020
Cellular micromotion-a tiny movement of cell membranes on the nm-µm scale-has been proposed as a pathway for inter-cellular signal transduction and as a label-free proxy signal to neural activity. Here we harness several recent approaches of signal p...
DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features.
BMC bioinformatics
Nov 12, 2020
BACKGROUND: Circular RNAs (circRNAs) are special noncoding RNA molecules with closed loop structures. Compared with the traditional linear RNA, circRNA is more stable and not easily degraded. Many studies have shown that circRNAs are involved in the ...
Artificial intelligence-based collaborative filtering method with ensemble learning for personalized lung cancer medicine without genetic sequencing.
Pharmacological research
Jun 23, 2020
In personalized medicine, many factors influence the choice of compounds. Hence, the selection of suitable medicine for patients with non-small-cell lung cancer (NSCLC) is expensive. To shorten the decision-making process for compounds, we propose a ...
Propofol affects the growth and metastasis of pancreatic cancer via ADAM8.
Pharmacological reports : PR
Dec 20, 2019
BACKGROUND: Anesthesia is a major component of surgery and recently considered an important regulator of cell phenotypes. Here we aimed to investigate propofol, an anesthesia drug, in suppressing pancreatic cancer (PDAC), focusing on A disintegrin an...
Mice, SCID
Cell Movement
Neoplasm Metastasis
Cell Line, Tumor
Apoptosis
Pancreatic Neoplasms
MAP Kinase Signaling System
Humans
Membrane Proteins
Neoplasm Invasiveness
Matrix Metalloproteinase 9
ADAM Proteins
Cell Proliferation
Animals
Matrix Metalloproteinase 2
Propofol
Antineoplastic Agents
Xenograft Model Antitumor Assays
Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning.
Chembiochem : a European journal of chemical biology
Nov 14, 2019
Deep convolutional neural networks (CNNs) are a method of choice for image recognition. Herein a hybrid CNN approach is presented for molecular pattern recognition in drug discovery. Using self-organizing map images of molecular pharmacophores as inp...
Predicting the future direction of cell movement with convolutional neural networks.
PloS one
Sep 4, 2019
Image-based deep learning systems, such as convolutional neural networks (CNNs), have recently been applied to cell classification, producing impressive results; however, application of CNNs has been confined to classification of the current cell sta...
Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Apr 22, 2019
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The goals of this study were to determine robust and reproducible optical phase signatures of cell lines for classification with machine learning and to cor...
Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.
Scientific reports
Mar 5, 2019
Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility, is considered to be the main determinant of men's reproductive health. Therefore, sperm cell selection is vital in assisted reproductive technology ...
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