Artificial Intelligence Medical Compendium

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

Showing 5,681 to 5,690 of 205,404 articles

Health behavior risk prediction in metabolic syndrome patients: development and validation of an interpretable machine learning model via multisource heterogeneous data integration.

BMC medical informatics and decision making Jun 3, 2026
BACKGROUND: Metabolic syndrome (MetS) represents a major public health challenge in rural populations, particularly in resource-limited regions such as southern Xinjiang, China. Unhealthy behaviors serve as key modifiable drivers of MetS progression;... read more 

Smartphone-based Detection of Group A Streptococcal Pharyngitis in Ugandan Children: A Pilot Study.

The Pediatric infectious disease journal Jun 3, 2026
Prompt diagnosis of group A streptococcal pharyngitis is essential for primary prevention of acute rheumatic fever and rheumatic heart disease, yet affordable point-of-care diagnostics remain limited in low-resource settings. We conducted a prospecti... read more 

Network analysis of pairwise relative tuberculosis transmission probabilities in Lima, Peru.

American journal of epidemiology Jun 3, 2026
Identifying transmission events is important in understanding infectious disease dynamics. Such events are typically unobservable, particularly in respiratory diseases such as tuberculosis (TB). We apply network techniques to identify transmission cl... read more 

Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional 18F-FDG Images and Evaluation for Clinical Use.

Journal of nuclear medicine technology Jun 3, 2026
The use of amyloid PET to assess patient suitability of disease-modifying drugs for Alzheimer disease is increasing. This study aimed to synthesize amyloid PET images from 18F-FDG PET images using a generative artificial intelligence algorithm to red... read more 

Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition.

American journal of epidemiology Jun 3, 2026
Machine learning is increasingly used to estimate nuisance functions in causal inference. The efficient influence function (EIF) offers a principled way to construct estimators that can incorporate machine learning with valid inference (eg, estimate ... read more 

Profiling cognition and brain metabolism in amyotrophic lateral sclerosis and frontotemporal dementia.

Brain : a journal of neurology Jun 3, 2026
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are described as a disease continuum, given their shared clinical, genetic and pathological characteristics. Comparisons of clinical and biomarker features within the ALS and behav... read more 

MAGI: Mechanistic Consequences of Genetic Variants via Genomic Foundation Models

bioRxiv Jun 3, 2026
Clinical variant interpretation requires mechanism-aware evidence to guide diagnosis and clarify the biological consequences of mutations. However, existing computational predictors and genomic foundation models largely function as black boxes, provi... read more 
genetics

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

bioRxiv Jun 3, 2026
T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross-cohort validations and operational gene-expression definitions are lacking. To establish a gene-expression-anchored framework for T-ALL subtyping, we... read more 
bioinformatics

HyperNiche: Learning Heterophilic Cellular Niches with Hypergraph Neural Networks

bioRxiv Jun 3, 2026
We propose HyperNiche, a hypergraph-based framework for modeling higher-order, heterogeneous cellular niches from spatial transcriptomics data. Unlike conventional graph-based methods that rely on pairwise similarity and tend to produce homogeneous c... read more 
bioinformatics

SciCore-Omics: a tri-modal foundation model unifying histology, spatial transcriptomics and language for spatial biology

bioRxiv Jun 3, 2026
Histomorphology and spatial transcriptomics capture complementary aspects of tissue biology, but their relationships remain difficult to extract, align, and interpret at scale. Existing foundation models typically connect histology, omics, or languag... read more 
bioinformatics
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