Artificial Intelligence Medical Compendium

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

Showing 64,571 to 64,580 of 231,605 articles

3D reconstruction of spatial transcriptomics with spatial pattern enhanced graph convolutional neural network

bioRxiv
Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for anal... read more 

LoopBin, a VaDE-based neural network for chromatin loop classification

bioRxiv
Classifying chromatin loops from 3D genomics data according to their epigenetic and structural attributes is important for inferring their functional roles. Currently, such classification typically relies on the manual intersection of epigenomic sign... read more 

Deep learning-guided design of cell type-specific AAV promoters

bioRxiv
Precise cell type targeting is critical for both clinical and experimental applications of adeno-associated viral (AAV) vectors, yet engineering vectors with cell type-specific activity remains a challenge. Here, we compared three strategies leveragi... read more 

Monte Carlo simulations to propagate the uncertainty of machine-learning classification into ecological models

bioRxiv
Deep learning (DL) is increasingly integrated into quantitative ecology, particularly for automating the classification of sensor data in biodiversity monitoring. In addition to substantially reducing data processing effort, DL models often achieve h... read more 

Unifying phylogenetic traversal and deep learning to guide tree exploration

bioRxiv
Deep learning offers hope for more efficient phylogenetic inference methods. However, it has yet to have the transformative effect on phylogenetics that it has had in other fields. Here we present a novel approach that combines deep learning with con... read more 

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

bioRxiv
0Generative artificial intelligence has advanced antibody discovery, yet de novo design of therapeutic antibodies against targets with "zero-prior" epitopes remains a fundamental challenge. We define "zero-prior" epitopes as target sites lacking stru... read more 

Automating the Construction of Contextualized Biomedical Knowledge Graphs for Scientific Inference

bioRxiv
Biomedical interactions are inherently dynamic, often shifting or even reversing under specific physiological states. However, existing extraction methods simplify these complex mechanisms into context-agnostic binary associations, resulting in seman... read more 

Sequence constraints predispose Class D GPCRs to follow an atypical activation mechanism

bioRxiv
The biophysical principles underlying distinct conformational changes in proteins with similar topologies remain poorly understood. Class D G Protein-Coupled Receptors (GPCRs), fungal pheromone-sensing receptors essential for mating and survival, exh... read more 

Physics-Informed Neural Network Methods for Predicting Plant Height Development

bioRxiv
Plant growth is a dynamic process affected by genes and growing environment, with all kinds of interactions between them. These complex relationships make the prediction of plant growth challenging. We propose a hybrid modelling framework that combin... read more 

Acute pancreatitis: mechanisms and therapeutic approaches.

Signal transduction and targeted therapy
Acute pancreatitis is a complex inflammatory condition characterized by sudden onset and rapid progression, with severe cases often associated with high mortality. In recent years, the global incidence of acute pancreatitis has been increasing, with ... read more