Artificial Intelligence Medical Compendium

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

Showing 63,831 to 63,840 of 230,975 articles

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy.

Science (New York, N.Y.) Jan 15, 2026
Hypertrophic cardiomyopathy (HCM), a genetic heart disease defined by unexplained cardiac wall thickening, is a leading cause of sudden death worldwide. However, the three-dimensional organization of cardiac tissue underlying left ventricular hypertr... read more 
Humans Animals Swine Transcriptome Deep Learning Imaging, Three-Dimensional Genotype Disease Models, Animal Myocardium Fibrosis Ventricular Remodeling Myocytes, Cardiac Cardiomyopathy, Hypertrophic Hypertrophy, Left Ventricular

Caries Microbiome: time to move from blame to balance.

Caries research Jan 15, 2026
BACKGROUND: Advances in next-generation sequencing(NGS) and multi-omics approaches reinforced the concept of functional diversity within biofilm communities, revealing roles beyond bacterial taxonomy and highlighting metabolic and ecological mechanis... read more 

A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features.

IEEE transactions on computational biology and bioinformatics Jan 15, 2026
Viruses are a significant threat to human life, as demonstrated by the global COVID-19 pandemic and the Ebola outbreak. Diseases such as smallpox, AIDS, hepatitis, liver cancer, and cervical cancer often caused by the Human Papillomavirus can lead to... read more 

Towards Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic Segmentation.

IEEE transactions on pattern analysis and machine intelligence Jan 15, 2026
With the success of the 3D deep learning models, various perception technologies for autonomous driving have been developed in the LiDAR domain. While these models perform well in the trained source domain, they struggle in unseen domains with a doma... read more 

Single-Photon Imaging in Complex Scenarios via Physics-Informed Deep Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Jan 15, 2026
Single-photon imaging uses single-photon-sensitive picosecond-resolution sensors to capture 3D structure and supports diverse applications, but success remains mostly limited to simple scenes. In complex scenarios, traditional methods degrade and dee... read more 

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

bioRxiv Jan 15, 2026
Accurately predicting how amino acid substitutions alter protein function is a central challenge in biology, with applications from interpreting disease variants to engineering vaccines and therapeutic proteins. We introduce HERMES, a family of fast,... read more 
bioinformatics

A genotype-phenotype transformer to assess and explain polygenic risk

bioRxiv Jan 15, 2026
Genome-wide association studies have linked millions of genetic variants to biomedical phenotypes, but their utility has been limited by lack of mechanistic understanding and widespread epistatic interactions. Recently, Transformer models have emerge... read more 
bioinformatics

Histological aging signatures enable tissue-specific disease prediction from blood

bioRxiv Jan 15, 2026
Aging, the leading risk factor for numerous diseases, manifests through diverse structural and architectural changes in human tissues, providing an opportunity to quantify and interpret tissue-specific aging. To address this, we present a comprehensi... read more 
physiology

NeuroSimo: an open-source software for closed-loop EEG- or EMG-guided TMS

bioRxiv Jan 15, 2026
ObjectiveOur goal was to create open-source software for closed-loop EEG-TMS that allows researchers to rapidly prototype and develop novel stimulation paradigms in a high-level programming language. This addresses the limitations of current solution... read more 
bioengineering

OpenDVP: An experimental and computational framework for community-empowered deep visual proteomics

bioRxiv Jan 15, 2026
Deep visual proteomics (DVP) is an emerging approach for cell type-specific and spatially resolved proteomics. However, its broad adoption has been constrained by the lack of an open-source end-to-end workflow in a community-driven ecosystem. Here, w... read more 
systems biology
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