Artificial Intelligence Medical Compendium

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

Showing 11,301 to 11,310 of 209,934 articles

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

Interpretable morphology mapping of peripheral blood leukocytes using annotation-efficient artificial intelligence

bioRxiv May 26, 2026
Background Peripheral blood smears (PBS) review is labor-intensive, subjective, and challenging for rare or morphologically heterogeneous cell types in hematologic malignancies. Artificial intelligence (AI) offers a scalable alternative, but broader ... read more 
pathology

Constrained protein Large Language Model illustrated in protein stability, function and epistasis

bioRxiv May 26, 2026
Our understanding of protein function and evolution is largely based on the relationship between amino acid sequence and overall fold, now effectively captured by computational models. Yet predicting how mutations--shaped by epistasis--alter protein ... read more 
bioinformatics

OryzaG3: A Single-species Genomic Foundation Model Pretrained on Rice Pangenome

bioRxiv May 26, 2026
While multi-species genomic language models have advanced biological representation learning, high-quality, single-species foundation models for crops remain scarce. Leveraging recently expanded rice pangenome resources, we introduce OryzaG3, a speci... read more 
bioinformatics

Multi-Algorithm Machine Learning Benchmarking for Pan-Cancer Classification from Tumour-Educated Platelet RNA Sequencing

bioRxiv May 26, 2026
Tumour-educated platelets (TEPs) carry cancer-type-specific RNA signatures accessible through whole-blood RNA sequencing, but systematic multi-algorithm benchmarking with quantified statistical uncertainty had not been applied to the GSE68086 dataset... read more 
bioinformatics
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