AIMC Topic: Animals

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Homeostasis: Stay cool but keep on breathing.

Current biology : CB
Homeostatic control of neural networks is based on monitoring the activity level of neurons and adjusting excitability. A recent study demonstrates that the physical environment per se (temperature) can directly regulate the neural circuits underlyin...

YOLOv11-Based quantification and temporal analysis of repetitive behaviors in deer mice.

Neuroscience
Detailed temporal dynamics of deer mouse (Peromyscus maniculatus bairdii) behavior remain poorly characterized. This study presents an integrated automated system combining YOLOv11 deep learning for direct behavior classification, post-processing for...

Swimming into the future: Machine learning in zebrafish behavioral research.

Progress in neuro-psychopharmacology & biological psychiatry
The zebrafish (Danio rerio) has emerged as a powerful organism in behavioral neuroscience, offering invaluable insights into the neural circuits and molecular pathways underlying complex behaviors. Although the knowledge of zebrafish behavioral reper...

Nanotechnology-Enhanced siRNA Delivery: Revolutionizing Cancer Therapy.

ACS applied bio materials
RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precise gene silencing through small interfering RNA (siRNA). However, the clinical application of siRNA-based treatments faces challenges such as rapid deg...

Antimicrobial peptide developed with machine learning sequence optimization targets drug resistant Staphylococcus aureus in mice.

The Journal of clinical investigation
As antimicrobial resistance rises, new antibacterial candidates are urgently needed. Using sequence space information from over 14,743 functional antimicrobial peptides (AMPs), we improved the antimicrobial properties of citropin 1.1, an AMP with wea...

Active capture-directed bimetallic nanosubstrate for enhanced SERS detection of Staphylococcus aureus by combining strand exchange amplification and wavelength-selective machine learning.

Biosensors & bioelectronics
Staphylococcus aureus (S. aureus) is the leading risk factor for food safety and human health. Herein, a novel wavelength-selective machine learning -driven adaptive strand exchange amplification (SEA)/SERS biosensor was developed for rapid detection...

Unveiling the systemic impact of airborne microplastics: Integrating breathomics and machine learning with dual-tissue transcriptomics.

Journal of hazardous materials
Airborne microplastics (MPs) pose significant respiratory and systemic health risks upon inhalation; however, current assessment methods remain inadequate. This study integrates breathomics and transcriptomics to establish a non-invasive approach for...

A multimodal deep learning model for detecting endoscopic images of near-infrared fluorescence capsules.

Biosensors & bioelectronics
Early screening for gastrointestinal (GI) diseases is critical for preventing cancer development. With the rapid advancement of deep learning technology, artificial intelligence (AI) has become increasingly prominent in the early detection of GI dise...

Ultraviolet in swallowtail butterflies: contrasted dorso-ventral evolution highlights a trade-off between natural and sexual selection on visual cues.

Evolution; international journal of organic evolution
The evolutionary dynamics of color pattern diversification in animals is strongly influenced by visual interactions within and among species. While much attention has been given to color pattern variation in the human-visible range, perception outsid...

Supervised and unsupervised learning for lung perfusion data segmentation in electrical impedance tomography.

Biomedical physics & engineering express
: Effective lung gas exchange relies on the balance between alveolar ventilation and perfusion, which can be disrupted in mechanically ventilated patients. Lung perfusion assessment using electrical impedance tomography (EIT) typically involves a sud...