Artificial Intelligence Medical Compendium

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

Showing 1,801 to 1,810 of 165,003 articles

Integrative transcriptomics and metabolomics reveal neuroendocrine-lipid crosstalk and adenosine signaling in broiler under heat stress.

BMC genomics Jul 29, 2025
BACKGROUND: Heat stress (HS) is a significant challenge in poultry, negatively impacting feed efficiency and survival. These adaptive responses could lead to disrupted lipid metabolism, impaired immunity, and neural damage. We hypothesized that the n... read more 
Animals Gene Expression Profiling Transcriptome Chickens Heat-Shock Response Signal Transduction Metabolomics Lipid Metabolism Adenosine Hypothalamus Neurosecretory Systems

Application of MobileNet and Xception neural networks to identify Sillago sihama populations in Vietnam's coastal waters based on otolith morphology.

Journal of fish biology Jul 29, 2025
Classification of Indo-Pacific whiting (Sillago sihama) from three coastal regions of Vietnam revealed distinct population structures using otolith morphology. All three analytical approaches - traditional morphometrics using basic dimensional parame... read more 

SpaSEG: unsupervised deep learning for multi-task analysis of spatially resolved transcriptomics.

Genome biology Jul 29, 2025
Spatially resolved transcriptomics (SRT) for characterizing spatial cellular heterogeneities in tissue environments requires systematic analytical approaches to elucidate gene expression variations within their physiological context. Here, we introdu... read more 
Humans Female Breast Neoplasms Gene Expression Profiling Transcriptome Deep Learning Unsupervised Machine Learning Carcinoma, Ductal, Breast

Advances, reception and potential of ChatGPT as a tool for healthcare delivery and research: a systematic review.

Singapore medical journal Jul 29, 2025
ChatGPT gained widespread attention for its capabilities in natural language processing, enabling machines to assess human language inputs and generate complex, yet evolving answers. As large language models (LLMs) continue to develop, clear guidelin... read more 

Integrated transcriptomic and proteomic analysis identifies FBXW7 as a key regulator of tau homeostasis in Alzheimer's disease.

Journal of Alzheimer's disease : JAD Jul 29, 2025
BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder driven by complex, incompletely understood genetic and pathogenic factors. E3 ubiquitin ligases (E3s), crucial for protein degradation, are implicated in AD, but their spe... read more 

Quantum Chemistry Calculation-Assisted Large-Scale Collision Cross Section Prediction Empowers Derivatization-Enhanced Multidimensional Metabolomics.

Angewandte Chemie (International ed. in English) Jul 29, 2025
Derivatization-enhanced multidimensional metabolomics combined with ion mobility mass spectrometry will greatly improve the accuracy and coverage of metabolic analysis. However, accurate prediction of the large-scale collision cross section (CCS) of ... read more 

: categorical diffusion ensembles for single-step chemical retrosynthesis.

Journal of cheminformatics Jul 29, 2025
Methods for automatic chemical retrosynthesis have found recent success through the application of models traditionally built for natural language processing, primarily through transformer neural networks. These models have demonstrated significant a... read more 

Performing Path Integral Molecular Dynamics Using an Artificial Intelligence-Enhanced Molecular Simulation Framework.

Journal of chemical theory and computation Jul 29, 2025
This study employed an artificial intelligence-enhanced molecular simulation framework to enable efficient path integral molecular dynamics (PIMD) simulations. Owing to its modular architecture and high-throughput capabilities, the framework effectiv... read more 

Qsarna: An Online Tool for Smart Chemical Space Navigation in Drug Design.

Journal of chemical information and modeling Jul 29, 2025
Drug discovery is a lengthy and resource-intensive process that requires innovative computational techniques to expedite the transition from laboratory research to life-saving medications. Here, we introduce Qsarna, a comprehensive online platform th... read more 

Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN.

BMC bioinformatics Jul 29, 2025
BACKGROUND: The exploration of drug-target interactions (DTIs) is a critical step in drug discovery and drug repurposing. Recently, network-based methods have emerged as a prominent research area for predicting DTIs. These methods excel by extracting... read more 
Humans Neural Networks, Computer Algorithms Drug Discovery Computational Biology Drug Repositioning Autoencoder
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