AIMC Topic: Stress, Physiological
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Deep Analysis of Mitochondria and Cell Health Using Machine Learning.
Scientific reports
Nov 5, 2018
There is a critical need for better analytical methods to study mitochondria in normal and diseased states. Mitochondrial image analysis is typically done on still images using slow manual methods or automated methods of limited types of features. Mi...
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Sep 27, 2018
Combined analysis of SPECT myocardial perfusion imaging (MPI) performed with a solid-state camera on patients in 2 positions (semiupright, supine) is routinely used to mitigate attenuation artifacts. We evaluated the prediction of obstructive disease...
Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.
Trends in plant science
Aug 10, 2018
Deep learning (DL), a subset of machine learning approaches, has emerged as a versatile tool to assimilate large amounts of heterogeneous data and provide reliable predictions of complex and uncertain phenomena. These tools are increasingly being use...
Fungicide tolerant Bradyrhizobium japonicum mitigate toxicity and enhance greengram production under hexaconazole stress.
Journal of environmental sciences (China)
Jul 26, 2018
Bacterial strain RV9 recovered from greengram nodules tolerated 2400μg/mL of hexaconazole and was identified by 16S rDNA sequence analysis as Bradyrhizobium japonicum (KY940048). Strain RV9 produced IAA (61.6μg/mL), ACC deaminase (51.7mg/(protein·hr)...
Support vector machines for explaining physiological stress response in Wood mice (Apodemus sylvaticus).
Scientific reports
Feb 7, 2018
Physiological stress response is a crucial adaptive mechanism for prey species survival. This paper aims to identify the main environmental and/or individual factors better explaining the stress response in Wood mice, Apodemus sylvaticus. We analyzed...
Effects of heat stress and dietary zinc source on performance and mammary epithelial integrity of lactating dairy cows.
Journal of dairy science
Dec 28, 2017
Dietary Zn and heat stress alter gut integrity in monogastric animals. However, effects of Zn on mammary epithelial integrity in heat-stressed lactating dairy cows have not been studied. Multiparous lactating Holstein cows (n = 72) were randomly assi...
Anti-aging factor, serum alpha-Klotho, as a marker of acute physiological stress, and a predictor of ICU mortality, in patients with septic shock.
Journal of critical care
Nov 16, 2017
PURPOSE: Genetic deletions decreasing serum alpha-Klotho (alpha-KL) have been associated with rapid aging, multi-organ failure and increased mortality in experimental sepsis. We hypothesized that lower alpha-KL obtained at the onset of septic shock c...
Effect of abiotic and biotic stress factors analysis using machine learning methods in zebrafish.
Comparative biochemistry and physiology. Part D, Genomics & proteomics
Nov 11, 2017
In order to understand the mechanisms underlying stress responses, meta-analysis of transcriptome is made to identify differentially expressed genes (DEGs) and their biological, molecular and cellular mechanisms in response to stressors. The present ...
Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.
Scientific reports
Aug 15, 2017
Plant-based sensing on water stress can provide sensitive and direct reference for precision irrigation system in greenhouse. However, plant information acquisition, interpretation, and systematical application remain insufficient. This study develop...
Computer vision and machine learning for robust phenotyping in genome-wide studies.
Scientific reports
Mar 8, 2017
Traditional evaluation of crop biotic and abiotic stresses are time-consuming and labor-intensive limiting the ability to dissect the genetic basis of quantitative traits. A machine learning (ML)-enabled image-phenotyping pipeline for the genetic stu...
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