AIMC Topic: Drosophila
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Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning.
Communications biology
Jun 7, 2024
The Drosophila model is pivotal in deciphering the pathophysiological underpinnings of various human ailments, notably aging and cardiovascular diseases. Cutting-edge imaging techniques and physiology yield vast high-resolution videos, demanding adva...
CapsNet-TIS: Predicting translation initiation site based on multi-feature fusion and improved capsule network.
Gene
May 22, 2024
Genes are the basic units of protein synthesis in organisms, and accurately identifying the translation initiation site (TIS) of genes is crucial for understanding the regulation, transcription, and translation processes of genes. However, the existi...
Behavioral toxicological tracking analysis of Drosophila larvae exposed to polystyrene microplastics based on machine learning.
Journal of environmental management
Apr 26, 2024
Microplastics, as a pivotal concern within plastic pollution, have sparked widespread apprehension due to their ubiquitous presence. Recent research indicates that these minuscule plastic particles may exert discernible effects on the locomotor capab...
Designer genes courtesy of artificial intelligence.
Genes & development
May 30, 2023
The core promoter determines not only where gene transcription initiates but also the transcriptional activity in both basal and enhancer-induced conditions. Multiple short sequence elements within the core promoter have been identified in different ...
A deep learning analysis of body kinematics during magnetically tethered flight.
Journal of neurogenetics
May 18, 2023
Flying rely on their vision to detect visual objects and adjust their flight course. Despite their robust fixation on a dark, vertical bar, our understanding of the underlying visuomotor neural circuits remains limited, in part due to difficulties i...
A vacuum-actuated soft robot inspired by Drosophila larvae to study kinetics of crawling behaviour.
PloS one
Apr 5, 2023
Peristalsis, a motion generated by the propagation of muscular contraction along the body axis, is one of the most common locomotion patterns in limbless animals. While the kinematics of peristalsis has been examined intensively, its kinetics remains...
A gyroscope-free visual-inertial flight control and wind sensing system for 10-mg robots.
Science robotics
Nov 23, 2022
Tiny "gnat robots," weighing just a few milligrams, were first conjectured in the 1980s. How to stabilize one if it were to hover like a small insect has not been answered. Challenges include the requirement that sensors be both low mass and high ban...
Deep learning of cross-species single-cell landscapes identifies conserved regulatory programs underlying cell types.
Nature genetics
Oct 13, 2022
Despite extensive efforts to generate and analyze reference genomes, genetic models to predict gene regulation and cell fate decisions are lacking for most species. Here, we generated whole-body single-cell transcriptomic landscapes of zebrafish, Dro...
Latent space of a small genetic network: Geometry of dynamics and information.
Proceedings of the National Academy of Sciences of the United States of America
Jun 22, 2022
The high-dimensional character of most biological systems presents genuine challenges for modeling and prediction. Here we propose a neural network-based approach for dimensionality reduction and analysis of biological gene expression data, using, as...
Deep-learning on-chip light-sheet microscopy enabling video-rate volumetric imaging of dynamic biological specimens.
Lab on a chip
Sep 14, 2021
Volumetric imaging of dynamic signals in a large, moving, and light-scattering specimen is extremely challenging, owing to the requirement on high spatiotemporal resolution and difficulty in obtaining high-contrast signals. Here we report that throug...
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