AIMC Topic: Animals

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Using machine learning to decode animal communication.

Science (New York, N.Y.)
New methods promise transformative insights and conservation benefits.

The million-molecule challenge: a moonshot project to rapidly advance longevity intervention discovery.

GeroScience
Targeting aging is the future of twenty-first century preventative medicine. Small molecule interventions that promote healthy longevity are known, but few are well-developed and discovery of novel, robust interventions has stagnated. To accelerate l...

Extended performance analysis of deep-learning algorithms for mice vocalization segmentation.

Scientific reports
Ultrasonic vocalizations (USVs) analysis represents a fundamental tool to study animal communication. It can be used to perform a behavioral investigation of mice for ethological studies and in the field of neuroscience and neuropharmacology. The USV...

ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation.

Scientific reports
Acoustic identification of vocalizing individuals opens up new and deeper insights into animal communications, such as individual-/group-specific dialects, turn-taking events, and dialogs. However, establishing an association between an individual an...

Deep audio embeddings for vocalisation clustering.

PloS one
The study of non-human animals' communication systems generally relies on the transcription of vocal sequences using a finite set of discrete units. This set is referred to as a vocal repertoire, which is specific to a species or a sub-group of a spe...

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.

Molecular cell
RNA-binding proteins (RBPs) control RNA metabolism to orchestrate gene expression and, when dysfunctional, underlie human diseases. Proteome-wide discovery efforts predict thousands of RBP candidates, many of which lack canonical RNA-binding domains ...

WormSwin: Instance segmentation of C. elegans using vision transformer.

Scientific reports
The possibility to extract motion of a single organism from video recordings at a large-scale provides means for the quantitative study of its behavior, both individual and collective. This task is particularly difficult for organisms that interact w...

A deep learning approach for morphological feature extraction based on variational auto-encoder: an application to mandible shape.

NPJ systems biology and applications
Shape measurements are crucial for evolutionary and developmental biology; however, they present difficulties in the objective and automatic quantification of arbitrary shapes. Conventional approaches are based on anatomically prominent landmarks, wh...

PMotion: an advanced markerless pose estimation approach based on novel deep learning framework used to reveal neurobehavior.

Journal of neural engineering
The evaluation of animals' motion behavior has played a vital role in neuromuscular biomedical research and clinical diagnostics, which reflects the changes caused by neuromodulation or neurodamage. Currently, the existing animal pose estimation meth...