AIMC Topic: Mammals
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Canonical circuit computations for computer vision.
Biological cybernetics
Jun 12, 2023
Advanced computer vision mechanisms have been inspired by neuroscientific findings. However, with the focus on improving benchmark achievements, technical solutions have been shaped by application and engineering constraints. This includes the traini...
A Laser-Driven Microrobot for Thermal Stimulation of Single Cells.
Advanced healthcare materials
Jun 6, 2023
Here, the study presents a thermally activated cell-signal imaging (TACSI) microrobot, capable of photothermal actuation, sensing, and light-driven locomotion. The plasmonic soft microrobot is specifically designed for thermal stimulation of mammalia...
3D surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semisupervised deep learning.
Proceedings of the National Academy of Sciences of the United States of America
Jun 5, 2023
Cryo-soft X-ray tomography (cryo-SXT) is a powerful method to investigate the ultrastructure of cells, offering resolution in the tens of nanometer range and strong contrast for membranous structures without requiring labeling or chemical fixation. T...
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape.
Nature communications
May 27, 2023
New satellite remote sensing and machine learning techniques offer untapped possibilities to monitor global biodiversity with unprecedented speed and precision. These efficiencies promise to reveal novel ecological insights at spatial scales which ar...
CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides.
BMC bioinformatics
May 16, 2023
BACKGROUND: Cysteine-dense peptides (CDPs) are an attractive pharmaceutical scaffold that display extreme biochemical properties, low immunogenicity, and the ability to bind targets with high affinity and selectivity. While many CDPs have potential a...
In silico prediction of hERG blockers using machine learning and deep learning approaches.
Journal of applied toxicology : JAT
May 6, 2023
The human ether-à-go-go-related gene (hERG) is associated with drug cardiotoxicity. If the hERG channel is blocked, it will lead to prolonged QT interval and cause sudden death in severe cases. Therefore, it is important to evaluate the hERG-blocking...
Atomically thin optomemristive feedback neurons.
Nature nanotechnology
May 4, 2023
Cognitive functions such as learning in mammalian brains have been attributed to the presence of neuronal circuits with feed-forward and feedback topologies. Such networks have interactions within and between neurons that provide excitory and inhibit...
Relating enhancer genetic variation across mammals to complex phenotypes using machine learning.
Science (New York, N.Y.)
Apr 28, 2023
Protein-coding differences between species often fail to explain phenotypic diversity, suggesting the involvement of genomic elements that regulate gene expression such as enhancers. Identifying associations between enhancers and phenotypes is challe...
Measuring cryo-TEM sample thickness using reflected light microscopy and machine learning.
Journal of structural biology
Apr 24, 2023
In cryo-transmission electron microscopy (cryo-TEM), sample thickness is one of the most important parameters that governs image quality. When combining cryo-TEM with other imaging methods, such as light microscopy, measuring and controlling the samp...
An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries.
Development (Cambridge, England)
Apr 3, 2023
Computational analysis of bio-images by deep learning (DL) algorithms has made exceptional progress in recent years and has become much more accessible to non-specialists with the development of ready-to-use tools. The study of oogenesis mechanisms a...
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