Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 10,961 to 10,970 of 209,601 articles

From noisy labels to intrinsic structure: A geometric-structural dual-guided framework for noise-robust medical image segmentation.

Medical image analysis
The effectiveness of convolutional neural networks in medical image segmentation relies on large-scale, high-quality annotations, which are costly and time-consuming to obtain. Even expert-labeled datasets inevitably contain noise arising from subjec... read more 

Applying artificial intelligence and machine learning framework for de novo design of pyrazole-based VEGFR-2 inhibitors.

Journal of molecular graphics & modelling
VEGFR-2 is an important target for oncological interventions due to its key role in angiogenesis, a biological process vital for tumour expansion and metastasis. The targeted blockade of VEGFR-2 has emerged as a promising treatment approach across a ... read more 

Non-invasive somatotopic proprioceptive feedback for closed-loop robotic hand aperture control.

Journal of neural engineering
Objective.Current robotic prostheses developed for individuals with transradial amputation often lack physiological feedback, particularly proprioceptive information, which limits control precision and increases reliance on vision.Approach.This study... read more 

WITHDRAWN: Scalable Microbiome Network Inference: Mitigating Sparsity and Computational Bottlenecks in Random Effects Models

bioRxiv
The application of Large Language Models (LLMs) and Transformers to biological and healthcare datasets requires the extraction of highly accurate, noise-filtered ecological networks. The Random Effects Model (REM) is a powerful statistical method for... read more 

Automated sleep scoring in hibernating and non-hibernating American black bears

bioRxiv
Hibernating bears show remarkable metabolic suppression. Their decline in core body temperature (Tb) is moderate(from 38{degrees}C to 30-35{degrees}C), but their metabolism declines as much as 75%. To understand the role of sleep in this hypometaboli... read more 

CryoARC: Atomic-resolution conformational landscapes of protein assemblies from cryo-EM single particles with evolutionary priors

bioRxiv
Single-particle cryo-electron microscopy (cryo-EM) reveals structural heterogeneity in macromolecular complexes, but recovering continuous conformational landscapes at high resolution remains challenging. Here, we introduce CryoARC, a deep learning f... read more 

Estimation of the curved body length of tuna larvae from microscope images using a zero-shot model and image processing techniques

bioRxiv
Fixed larval specimens often shrink and curve, making length measurement labor-intensive. Although recent studies have demonstrated efficient fish-length estimation from images using deep learning, methods for estimating curved length remain limited.... read more 

Nanostructured Zirconia thin films as neurogliomorphic interface for neural cells of central and peripheral nervous system

bioRxiv
Recent advances in neuroscience have highlighted the central role of glial cells, particularly astrocytes, in regulating neural network activity through calcium-dependent neuron-glia communication. In parallel, nanostructured cluster-assembled materi... read more 

Inducible lipid storage and steatosis in the human choroid plexus associated with age and adiposity

bioRxiv
Cells that store lipids for other cells or organs can contain ''giant'' or large lipid droplets (LLDs) greater than 2 m in diameter. In this study, human postmortem choroid plexus was evaluated for lipid droplets. Staining with hematoxylin and eosin ... read more 

Application of Computer Vision Tools to Maize Genomic Data for Trait Prediction and Gene Discovery

bioRxiv
Artificial intelligence and machine learning for computer vision (CV) and image recognition is a rapidly evolving field with multiple potential applications in plant genomics. While CV has been widely adopted by the research community for plant pheno... read more