AIMC Topic: Animals

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A Comparative Evaluation of Microimpedance Tomography Reconstruction Algorithms for in Vitro Imaging.

ACS sensors
This paper presents the development of a novel miniature electrical impedance tomography (EIT) system made out of glass, along with the training, validation, and testing of an accompanying open-source machine learning image reconstruction model. Our ...

Progress and Prospects of Transdermal Treatment of Allergic Skin Diseases with Natural Drugs based on Nanotechnology.

AAPS PharmSciTech
Allergic skin disease conditions represent a significant global health challenge, with conventional therapies frequently associated with local dermal irritation and systemic adverse effects. Nanotechnology-enabled transdermal drug delivery platforms ...

What imitating an iconic robot reveals on allospecific vocal imitation in parrots and starlings.

Scientific reports
Vocal production learning is a remarkable ability, exclusively present in a few mammalian species and three bird clades. Besides learning conspecific vocalizations, vocal production can also lead to integration of allospecific sounds in an animal's r...

A bird target detection model designed for substation scenarios.

Scientific reports
Substations are critical to the power grid, but they are often disturbed by bird activity, which can lead to power failures and outages. Conventional bird-detection methods are costly and lack long-term effectiveness. To address these issues, this pa...

Reconstructing strontium-90 intake in beagles using neural networks: a data-driven assessment of historical inhalation records.

Journal of radiological protection : official journal of the Society for Radiological Protection
Dose estimation in response to internal radionuclide exposures requires reconstruction of the initial intake activity, which is frequently unknown due to the absence ofdata. In such scenarios, intake is inferred from bioassay measurements obtained at...

Deep generative models design mRNA sequences with enhanced translational capacity and stability.

Science (New York, N.Y.)
Despite the success of messenger RNA (mRNA) COVID-19 vaccines, extending this modality to more diseases necessitates substantial enhancements. We present GEMORNA, a generative RNA model that uses transformer architectures tailored for mRNA coding seq...

Modeling and forecasting vibrio vulnificus concentration of long-range dependence on marine environmental conditions.

Water research
Vibrio vulnificus (vvh) is an epidemiologically significant bacterium that naturally occurs in coastal waters under favorable environmental conditions and causes one of the highest mortality rates among known foodborne pathogens. Little is currently ...

nERdy: network analysis of endoplasmic reticulum dynamics.

Communications biology
The endoplasmic reticulum (ER) comprises smooth tubules, ribosome-studded sheets, and peripheral sheets that can present as tubular matrices. ER shaping proteins determine ER morphology, however, understanding their role in tubular matrix formation r...

Evaluating machine learning approaches for host prediction using H3 influenza genomic data.

PloS one
BACKGROUND: H3 influenza A viruses (IAV) have been shown to frequently cross the species barrier which can be an important factor in sustained transmission and spread. Machine learning methods have been widely explored for host prediction of IAV usin...

Multi-modal single-cell platform for nanoparticle-enhanced time-series metabolic profiles of CD8 T cell exhaustion in tumor immunosurveillance.

Journal of nanobiotechnology
Cytotoxic T cells (CD8) play a pivotal role in immunosurveillance by identifying and eliminating tumor cells. However, the onset of CD8 T cell exhaustion, characterized by overexpression of immune checkpoint receptors, impairs their function, allowin...