AIMC Topic: Animals

Clear Filters Showing 7461 to 7470 of 8866 articles

Multiplexing and Sensing with Fluorescence Lifetime Imaging Microscopy Empowered by Phasor U-Net.

Analytical chemistry
Fluorescence lifetime imaging microscopy (FLIM) has been widely used as an essential multiplexing and sensing tool in frontier fields such as materials science and life sciences. However, the accuracy of lifetime estimation is compromised by limited ...

Artificial Intelligence Aided Analysis of Anterior Segment Optical Coherence Tomography Imaging to Monitor the Device-Cornea Joint After Synthetic Cornea Implantation.

Translational vision science & technology
PURPOSE: The purpose of this study was to assess the utility of artificial intelligence (AI) assisted analysis of anterior segment optical coherence tomography (AS-OCT) imaging of the device-cornea joint in predicting outcomes of an intrastromal synt...

AI Quantification of Vascular Lesions in Mouse Fundus Fluorescein Angiography.

Translational vision science & technology
PURPOSE: Quantifying vascular leakage in fundus fluorescein angiography (FFA) is a critical endpoint in preclinical models of diseases such as neovascular age-related macular degeneration, retinopathy of prematurity, and diabetic retinopathy. Traditi...

Revolution of AAV in Drug Discovery: From Delivery System to Clinical Application.

Journal of medical virology
Adeno-associated virus (AAV) is a non-enveloped DNA virus infecting a wide variety of species, tissues, and cell types, which is recognized as a safe and effective method for delivering therapeutic transgenes. AAV vector is the most popular viral gen...

Advancements in Organoid-Based Drug Discovery: Revolutionizing Precision Medicine and Pharmacology.

Drug development research
Organoids, 3D cellular models derived from stem cells, have revolutionized drug testing by providing human-relevant systems for modeling diseases and testing drug efficacy. Unlike traditional 2D cell cultures or animal models, organoids closely resem...

Classification of sounds from Pacific white-sided dolphins using a convolutional neural network and a method to reduce false-positive detections.

The Journal of the Acoustical Society of America
An automatic detector for identifying the clicks and pulsed calls of Pacific white-sided dolphins (Lagenorhynchus obliquidens) was developed using a convolutional neural network architecture for passive acoustic monitoring, particularly in the areas ...

Technical Note: Using Machine Learning to Predict Locomotor Behavior in Great Apes and Humans From Femur Metaphyseal Shape.

American journal of biological anthropology
OBJECTIVES: The morphology of the hominoid distal femoral metaphyseal surface has been demonstrated to reflect locomotor behavior throughout ontogeny. Here, we quantify metaphyseal surface morphology to evaluate its predictive relationship to locomot...

Neural Metabolic Networks: Key Elements of Healthy Brain Function.

Journal of neurochemistry
Neural networks are responsible for processing sensory stimuli and driving the synaptic activity required for brain function and behavior. This computational capacity is expensive and requires a steady supply of energy and building blocks to operate....

Integrating artificial intelligence into diagnostic testing for parasitic disease.

The Veterinary record
With artificial intelligence becoming increasingly embedded in society, some are questioning whether it could also be used to support the diagnosis and management of parasitic disease.

Exploring therapeutic and diagnostic potential of cysteine cathepsin as targets for cancer therapy with nanomedicine.

International journal of biological macromolecules
Cysteine cathepsins have been discovered to be substantially expressed in multiple types of cancer. They play a key role in the progression and growth of these cancers, rendering them appealing targets for nanoscale delivery and noninvasive diagnosti...