AIMC Topic: Animals

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A lightweight improved YOLOv8 method for intelligent detection of pine wilt disease.

Scientific reports
Pine wood nematode disease (PWD) is one of the most devastating forest diseases worldwide, often described as the "cancer" of pine trees due to its rapid and large-scale lethality. Early and accurate detection of infected trees is essential for inter...

Classification of individual dairy cow behaviors using accelerometer, gyroscope, and integrated sensor models.

BMC veterinary research
BACKGROUND: Automated behavior monitoring is increasingly important in precision dairy farming, supporting early disease detection, welfare assessment, and productivity optimization. Although accelerometers effectively detect postural changes, they h...

Construction of a Minimal Sensor Array Using Fingerprint Protein Corona on Nanostars for Detecting Protein Isoforms and Disease States.

ACS nano
Signature-based protein detection coupled with machine learning algorithms has revolutionized traditional sensing methods, providing rapid, inexpensive, and selectivity-driven detection without the use of specialized equipment. This strategy leverage...

AI-driven discovery of dual antiaging and anti-AD therapeutics via PROTAC target deconvolution of a super-enhancer-regulated axis.

Science advances
The lack of safe, durable therapeutics that act against both biological aging and Alzheimer's disease is an unmet clinical need. To bridge this gap, we devised an artificial intelligence (AI)-enabled approach that pairs rapid compound triage with mec...

Machine learning and bifurcation analysis in a discrete predator-prey model with neem-induced mortality.

Scientific reports
This study develops a discrete-time predator-prey model for guava pest management using the piecewise constant argument (PCA) scheme. The model incorporates logistic prey growth, neem-induced mortality, and predator crowding. Analytical and numerical...

In-depth 3D exploration of autosomal dominant polycystic kidney disease through light sheet fluorescence microscopy.

Scientific reports
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most prevalent genetic kidney disorder. Animal preclinical studies are one of the main tools to study this disease, often through either 2D histology imaging for high-resolution analysis or ...

MPIDNN-GPPI: multi-protein language model with an improved deep neural network for generalized protein‒protein interaction prediction.

BMC genomics
Predicting protein‒protein interactions (PPIs) plays a crucial role in understanding biological processes. Although biological experimental methods can identify PPIs, they are costly, time-consuming, labor-intensive, and often lack stability. In cont...

Denoising single-cell RNA-seq data with a deep learning-embedded statistical framework.

BMC bioinformatics
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) provides extensive opportunities to explore cellular heterogeneity but is often limited by substantial technical noise and variability. The prevalence of zero counts, arising from both biological var...

Artificial Intelligence-Driven Discovery of Pyrazolo[1,5-]pyrimidine Derivatives as Novel Phosphodiesterase 4 Inhibitors for Treating Idiopathic Pulmonary Fibrosis.

Journal of medicinal chemistry
Phosphodiesterase 4 (PDE4) has been validated as a promising therapeutic target for idiopathic pulmonary fibrosis (IPF), a devastating interstitial lung disease lacking really effective therapeutic drugs, particularly exacerbated in the post-COVID-19...

Building the connectome of a small brain with a simple stochastic developmental generative model.

Proceedings of the National Academy of Sciences of the United States of America
The architectures of biological neural networks result from developmental processes shaped by genetically encoded rules, biophysical constraints, stochasticity, and learning. Understanding these processes is crucial for comprehending neural circuits'...