Artificial Intelligence Medical Compendium

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

Showing 10,371 to 10,380 of 209,311 articles

AI and mechanistic modeling for characterizing biosynthetic pathways of natural products.

Natural product reports May 27, 2026
Covering: 2020 to 2025Natural products are a major source of bioactive compounds, yet elucidating their biosynthetic pathways remains a major challenge due to complex genotype-phenotype relationships. Recent advances in computational approaches, part... read more 

Optimising implantable loop recorder alerts with artificial intelligence: role of R-wave amplitude and workload reduction.

Heart (British Cardiac Society) May 26, 2026
BACKGROUND: False-positive (FP) alerts from implantable loop recorders increase clinical workload and may delay appropriate intervention. AccuRhythm AI, a cloud-based filtering algorithm, is designed to reduce these alerts in Reveal LINQ and LINQ II ... read more 

WITHDRAWN: Scalable Microbiome Network Inference: Mitigating Sparsity and Computational Bottlenecks in Random Effects Models

bioRxiv May 26, 2026
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 
bioinformatics

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

bioRxiv May 26, 2026
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 
pathology

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

bioRxiv May 26, 2026
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 
bioinformatics

Random network structure stabilizes neural manifolds

bioRxiv May 26, 2026
Neuronal activity patterns change continuously over days and weeks, a phenomenon known as representational drift. Despite this, the geometric structure of population representations, namely the pairwise similarities between stimulus-evoked activity p... read more 
neuroscience

Patterns of Typical and Atypical Age-related Brainstem Volume losses

bioRxiv May 26, 2026
Background: The brainstem and its different sub-systems control essential functions such as motor agility etc. that worsen with age. The purpose of this study was: 1. To assess the impact of age-related volume loss within three brainstem sub-systems ... read more 
neuroscience

IID-KG: An ontology-aligned literature-derived knowledge graph for infectious and immune-mediated diseases

bioRxiv May 26, 2026
Infectious and immune-mediated diseases (IIDs) represent a broad and rapidly expanding biomedical literature domain in which scalable evidence extraction, disease ontology refinement, and interpretable knowledge integration are essential for biomedic... read more 
bioinformatics

Machine Learning Assisted Optimization Framework for Designing Transcranial Focused Ultrasound Phased Array Transducer for Deep Brain Neuromodulation in Mice

bioRxiv May 26, 2026
Transcranial focused ultrasound is an emerging noninvasive neuromodulation technique offering high spatial precision and deep penetration. However, in deep brain neuromodulation in mice, the skull base attenuates the signal, distorting the focal regi... read more 
bioengineering

Evaluation of Active Learning Selection Strategies and Characterization of Informative Sequences for Sequence-to-Expression Models

bioRxiv May 26, 2026
DNA sequence-to-expression models have advanced rapidly, yet they still generalize poorly beyond their training distribution, limiting their use for tasks such as variant effect prediction. Active learning has improved data efficiency across many mac... read more 
genomics
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