AIMC Topic: Animals

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Engineering a Metal-Organic Framework-Dominated Bioinspired Multienzymatic Sensor Array for Portable Detection of Perfluoroalkyl Substances.

Analytical chemistry
Accurate identification of perfluoroalkyl substances (PFASs) is essential for environmental regulation and public health protection. However, current analytical techniques struggle to differentiate PFASs due to their structural similarity. Herein, we...

Piezo-Nanowired Stem Cells: Ultrasound-Powered Neuronal Commitment for Rapid Neural Circuit Reconstruction after Traumatic Brain Injury.

ACS nano
The inherently constrained regenerative capacity of neuronal tissue poses a major obstacle to repairing traumatic brain injury. While neural stem cell transplantation holds promise, its efficacy is constrained by slow and inefficient neuronal differe...

Cell Decoder: decoding cell identity with multi-scale explainable deep learning.

Genome biology
BACKGROUND: Cells are the fundamental units of life, and understanding their diversity and functionality requires detailed characterization. The rise of single-cell omics data enables this, yet current deep learning approaches lack multi-scale interp...

TRIumph in nanotoxicology: simplifying transcriptomics into a single predictive variable.

Nanoscale horizons
The primary aim of our study was to address the problem of transcriptomic data complexity by introducing a novel transcriptomic response index (TRI), compressing the entire transcriptomic space into a single variable, and linking it with the inhaled ...

An analytical and machine learning approach for total mercury and methylmercury determination in squid: enhancing food safety testing and traceability monitoring systems.

Food chemistry
This study presents the first assessment of total mercury (THg) and methylmercury (MeHg) in squids (Todarodes sagittatus, L.), providing insights into contamination levels and their correlation with the geographical origin. A method based on acidic e...

A machine learning framework for classifying lipids in untargeted metabolomics using mass-to-charge ratios and retention times.

Metabolomics : Official journal of the Metabolomic Society
INTRODUCTION: The identification of unknown metabolites remains a major challenge in untargeted metabolomics using liquid chromatography-mass spectrometry (LC-MS). This process typically depends on comparing mass spectral or chromatographic data to r...

Exploring the role of cytochrome P450 family 1 subfamily B member 1 and quercetin in modulating neuropathic pain after spinal cord injury.

Molecular medicine reports
Spinal cord injury (SCI) represents a notable global health challenge, with neuropathic pain (NP) being a common complication that intensifies patient suffering. Existing research tends to overlook the temporal aspects of NP and fails to offer target...

Gilthead sea bream gut bacteriome as a valuable tool for seafood provenance analysis.

Applied and environmental microbiology
The increasing demand for high-quality seafood underscores the significant challenges posed by rampant seafood fraud. This study aimed to identify regional capture biomarkers by using the gut bacteriome of specimens through state-of-the-art long-rea...

Artificial Intelligence-Assisted Low-Dose High Atomic Number Contrast Agent for Ultrahigh-Resolution Computed Tomography Angiography.

ACS nano
Achieving high resolution while minimizing contrast agent dosage remains a key goal, yet a major challenge in contrast-enhanced computed tomography (CT) imaging. Herein, we propose an artificial intelligence-assisted low-dose high atomic number contr...

Investigation into the molecular mechanism of obesity: an integrated approach of multi-omics analysis, machine learning and experimental validation.

Journal of translational medicine
BACKGROUND: Obesity has emerged as a major global public health challenge and poses a significant threat to human health. Despite extensive research, the mechanisms underlying its pathological progression remain elusive.