AIMC Topic: Cell Membrane
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Computational analysis of morphological and molecular features in gastric cancer tissues.
Cancer medicine
Feb 3, 2020
Biological morphologies of cells and tissues represent their physiological and pathological conditions. The importance of quantitative assessment of morphological information has been highly recognized in clinical diagnosis and therapeutic strategies...
An in vitro assay and artificial intelligence approach to determine rate constants of nanomaterial-cell interactions.
Scientific reports
Sep 26, 2019
In vitro assays and simulation technologies are powerful methodologies that can inform scientists of nanomaterial (NM) distribution and fate in humans or pre-clinical species. For small molecules, less animal data is often needed because there are a ...
Engineering approaches for characterizing soft tissue mechanical properties: A review.
Clinical biomechanics (Bristol, Avon)
Jul 16, 2019
From cancer diagnosis to detailed characterization of arterial wall biomechanics, the elastic property of tissues is widely studied as an early sign of disease onset. The fibrous structural features of tissues are a direct measure of its health and f...
Neoplasms
Fiber Optic Technology
Liver
Area Under Curve
Brain Neoplasms
Biomechanical Phenomena
Male
Robotic Surgical Procedures
Prostate
Breast
Microscopy, Atomic Force
Diagnostic Imaging
Tomography, Optical Coherence
Equipment Design
Humans
Machine Learning
Female
Stomach
Bioengineering
Elasticity Imaging Techniques
Elasticity
Cell Membrane
Vagina
Novel machine learning application for prediction of membrane insertion potential of cell-penetrating peptides.
International journal of pharmaceutics
Jun 21, 2019
Cell-penetrating peptides (CPPs) are often used as transporter systems to deliver various therapeutic agents into the cell. We developed a novel machine learning application which can quantitatively screen the insertion/interaction potential of vario...
Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.
Computers in biology and medicine
May 30, 2019
The uncontrollable growth of cells in the breast tissue causes breast cancer which is the second most common type of cancer affecting women in the United States. Normally, human epidermal growth factor receptor 2 (HER2) proteins are responsible for t...
Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles.
Computer methods and programs in biomedicine
May 17, 2019
BACKGROUND AND OBJECTIVES: Clathrin is an adaptor protein that serves as the principal element of the vesicle-coating complex and is important for the membrane cleavage to dispense the invaginated vesicle from the plasma membrane. The functional loss...
Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Apr 8, 2019
Cell classification based on phenotypical, spatial, and genetic information greatly advances our understanding of the physiology and pathology of biological systems. Technologies derived from next generation sequencing and fluorescent activated cell ...
Levels and building blocks-toward a domain granularity framework for the life sciences.
Journal of biomedical semantics
Jan 28, 2019
BACKGROUND: With the emergence of high-throughput technologies, Big Data and eScience, the use of online data repositories and the establishment of new data standards that require data to be computer-parsable become increasingly important. As a conse...
Hindmarsh-Rose neuron model with memristors.
Bio Systems
Jan 9, 2019
We analyze single and coupled Hindmarsh-Rose neurons in the presence of a time varying electromagnetic field which results from the exchange of ions across the membrane. Memristors are used to model the relation between magnetic flux of the electroma...
Cell-Like Micromotors.
Accounts of chemical research
Aug 3, 2018
In the past decade, versatile micro- and nanosized machines have emerged as active agents for large-scale detoxification, sensing, microfabrication, and many other promising applications. Micromachines have also been envisioned as the next advancemen...
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