AIMC Topic: Biological Phenomena

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Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation.

Sensors (Basel, Switzerland) Jun 19, 2023
This research proposes augmenting cropped computed tomography (CT) slices with data attributes to enhance the performance of a deep-learning-based automatic left-femur segmentation scheme. The data attribute is the lying position for the left-femur m...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Femur Biological Phenomena Deep Learning Imaging, Three-Dimensional
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Constrained disorder principle-based variability is fundamental for biological processes: Beyond biological relativity and physiological regulatory networks.

Progress in biophysics and molecular biology Apr 15, 2023
The constrained disorder principle (CDP) defines systems based on their degree of disorder bounded by dynamic boundaries. The principle explains stochasticity in living and non-living systems. Denis Noble described the importance of stochasticity in ...
Artificial Intelligence Algorithms Biological Phenomena Models, Biological Stochastic Processes
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Real-Time Prediction of Growth Characteristics for Individual Fruits Using Deep Learning.

Sensors (Basel, Switzerland) Aug 28, 2022
Understanding the growth status of fruits can enable precise growth management and improve the product quality. Previous studies have rarely used deep learning to observe changes over time, and manual annotation is required to detect hidden regions o...
Fruit Malus Biological Phenomena Deep Learning
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Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures.

NPJ systems biology and applications Oct 27, 2021
The utility of pathway signatures lies in their capability to determine whether a specific pathway or biological process is dysregulated in a given patient. These signatures have been widely used in machine learning (ML) methods for a variety of appl...
Humans Machine Learning Algorithms Biological Phenomena Computer Simulation Precision Medicine
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A Bioinspired Stress-Response Strategy for High-Speed Soft Grippers.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 2, 2021
The stress-response strategy is one of the nature's greatest developments, enabling animals and plants to respond quickly to environmental stimuli. One example is the stress-response strategy of the Venus flytrap, which enables such a delicate plant ...
Equipment Design Polyurethanes Robotics Tensile Strength Biological Phenomena
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Regression plane concept for analysing continuous cellular processes with machine learning.

Nature communications May 5, 2021
Biological processes are inherently continuous, and the chance of phenotypic discovery is significantly restricted by discretising them. Using multi-parametric active regression we introduce the Regression Plane (RP), a user-friendly discovery tool e...
Biological Phenomena Supervised Machine Learning Cell Cycle Drosophila melanogaster Cell Physiological Phenomena Membrane Proteins Cell Differentiation Cell Line, Tumor Carcinoma, Hepatocellular Machine Learning Humans Animals
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DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning.

Nature methods Jun 15, 2020
An outstanding challenge in single-molecule localization microscopy is the accurate and precise localization of individual point emitters in three dimensions in densely labeled samples. One established approach for three-dimensional single-molecule l...
Imaging, Three-Dimensional Neural Networks, Computer Single Molecule Imaging Deep Learning Biological Phenomena Telomere
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Machine learning for cluster analysis of localization microscopy data.

Nature communications Mar 20, 2020
Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships between molecules in the underlying sample. Many existing computational approaches are limited in...
Workflow Microscopy Single Molecule Imaging Biological Phenomena Humans Optical Imaging Software Neural Networks, Computer Cluster Analysis Machine Learning
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Nestedness across biological scales.

PloS one Feb 6, 2017
Biological networks pervade nature. They describe systems throughout all levels of biological organization, from molecules regulating metabolism to species interactions that shape ecosystem dynamics. The network thinking revealed recurrent organizati...
Humans Models, Biological Biological Phenomena Neural Networks, Computer Animals
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Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.

PloS one Dec 22, 2016
Do scaling relations always provide the means to anticipate the relationships between the size of cities, costs of maintenance, and the socio-economic benefits resulting from their growth? Scaling laws are considered a universal principle that descri...
Population Density Physiological Phenomena Biological Phenomena Socioeconomic Factors Urban Population Algorithms Geography Cities Humans Human Activities Neural Networks, Computer
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