AIMC Topic: Animals

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Deep Learning-Driven Discovery of Bee-Safe Isoxazoline Pesticide Candidates.

Journal of agricultural and food chemistry
Isoxazoline pesticides, such as fluxametamide, while effective against parasites and pests, pose a severe environmental threat due to their high toxicity to honeybees - critical pollinators essential for ecosystem health and food security. Existing p...

Machine Learning Accelerates Discovery of High-Performance Corrole Photosensitizers for Optical Imaging Diagnosis and Photodynamic Therapeutics of Nasopharyngeal Carcinoma.

The journal of physical chemistry letters
This study centers on corrole, an emerging photosensitizer with great application potential, and innovatively develops an intelligent machine learning-based screening strategy. Through integrating molecular descriptor generation, feature engineering,...

Research on eggplant pest and disease detection in complex environments based on improved RT-DETR.

BMC plant biology
Accurate detection of pests and diseases in eggplant under real-field conditions remains challenging due to large variations in target scales, complex background clutter, and the frequent presence of small and occluded objects. To address these issue...

Enhancing lipid nanoparticles-mediated RNA delivery to glioblastoma via targeted strategies.

Journal of controlled release : official journal of the Controlled Release Society
Glioblastoma (GBM) is an aggressive central nervous system (CNS) malignancy with a poor prognosis and limited responses to conventional therapies. RNA-based therapeutics, with their gene-targeting specificity, present a promising avenue for GBM treat...

RSR-MSI: Reference-Based Super-Resolution for Mass Spectrometry Imaging of Tissues and Single Cells.

Analytical chemistry
High-spatial-resolution mass spectrometry imaging (MSI) visualizes molecular distributions in tissues and cells. However, achieving higher spatial resolution typically necessitates smaller pixel dimensions and an increased number of pixels, leading t...

SPACEc: a streamlined, interactive Python workflow for multiplexed image processing and analysis.

Nature communications
Multiplexed imaging has transformed our ability to study tissue organization by capturing thousands of cells and molecules in their native context. However, these datasets are enormous, often comprising tens of gigabytes per image, and require comple...

End-to-end deep SAE-DNN model for predicting Egyptian buffalo calf sex, weight, and daily milk yield.

Tropical animal health and production
In the present study, a novel stacked Sparse Autoencoder-Deep Neural Network (SAE-DNN) learning prediction model was applied to predict calf sex, weight, and daily milk yield for dairy buffalo. First, SAE stage extracts the unique statistical feature...

Proximity Effects Leveraged in Ligand-Directed Chemical Labeling of Natural Proteins under Live Conditions.

Accounts of chemical research
ConspectusCovalent chemical labeling of proteins is central to chemical biology, offering functional modifications beyond imaging probes. While genetically engineered systems using self-labeling tags (e.g., HaloTag, SNAP-Tag) or genetic code expansio...

Directed Vectors for Generation of Independent Subspaces in the Bio-inpired Networks.

International journal of neural systems
Machine learning, deep learning and neural networks are extensively developed in many fields, with neural networks playing an important role in a wide variety of applications. However, a sufficient explanation of the structure and functionality of co...

Beyond swimming: emerging parameters for predicting the fertility of mouse spermatozoa.

Lab animal
Cryopreservation of spermatozoa can be used as a cost-effective way of preserving the ever-increasing number of genetically modified mouse lines. Nevertheless, discontinuing the breeding of a line or strain is only warranted after the quality control...