AIMC Topic: Animals

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[Application of machine learning in the CRISPR/Cas9 system].

Yi chuan = Hereditas
The third generation of the CRISPR/Cas9-mediated genome fixed-point editing technology has been widely used in the field of gene editing and gene expression regulation. How to improve the on-target efficiency and specificity of this system, as well a...

A tailless aerial robotic flapper reveals that flies use torque coupling in rapid banked turns.

Science (New York, N.Y.)
Insects are among the most agile natural flyers. Hypotheses on their flight control cannot always be validated by experiments with animals or tethered robots. To this end, we developed a programmable and agile autonomous free-flying robot controlled ...

[Acupoint injection of BMSCs combined with Chinese herbs for capillary density in ischemic hind limb of diabetes mellitus rats].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion
OBJECTIVE: To observe the effect of acupoint injection of bone mesenchymal stem cells (BMSCs) combined with Chinese herbs of benefiting for activating blood circulation for capillary density and arterioles density in skeletal muscle in ischemic hind...

Eight Kinds of Critters: A Moral Taxonomy for the Twenty-Second Century.

The Journal of medicine and philosophy
Over the coming century, the accelerating advance of bioenhancement technologies, robotics, and artificial intelligence (AI) may significantly broaden the qualitative range of sentient and intelligent beings. This article proposes a taxonomy of such ...

Automatic classification of grouper species by their sounds using deep neural networks.

The Journal of the Acoustical Society of America
In this paper, the effectiveness of deep learning for automatic classification of grouper species by their vocalizations has been investigated. In the proposed approach, wavelet denoising is used to reduce ambient ocean noise, and a deep neural netwo...

Predicting protein-protein interactions through sequence-based deep learning.

Bioinformatics (Oxford, England)
MOTIVATION: High-throughput experimental techniques have produced a large amount of protein-protein interaction (PPI) data, but their coverage is still low and the PPI data is also very noisy. Computational prediction of PPIs can be used to discover ...

Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.

Toxicological sciences : an official journal of the Society of Toxicology
Earlier we created a chemical hazard database via natural language processing of dossiers submitted to the European Chemical Agency with approximately 10 000 chemicals. We identified repeat OECD guideline tests to establish reproducibility of acute o...