Artificial Intelligence Medical Compendium

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

Showing 24,021 to 24,030 of 217,366 articles

Interpretable sequence-based machine learning consolidates candidate H3N2 hemagglutinin antigenic sites

bioRxiv May 1, 2026
Vaccine strain selection for seasonal influenza A(H3N2) depends on knowing which hemagglutinin (HA) substitutions are most likely to erode neutralizing antibody recognition, yet published antigenic site sets disagree substantially on which positions ... read more 
bioinformatics

A dataset of simultaneous two-photon calcium imaging and auditory discrimination behavior

bioRxiv May 1, 2026
The emerging field of artificial intelligence for neuroscience relies heavily on high-quality, standardized datasets. Data linking high-dimensional neural population dynamics with complex behavior is crucial for advancing the field of brain-computer ... read more 
neuroscience

Artificial intelligence aided design of peptides with custom secondary structure motifs and reduced amino acid alphabets

bioRxiv May 1, 2026
Proteins are highly diverse functional polymers where the specific sequence of amino acids, selected from a standard genetically-encoded alphabet of twenty (C20), determines the structure and ultimately the function of the resulting folded protein. T... read more 
bioinformatics

Mitigating Family Effects in RNA Secondary-Structure Prediction with Latent-Space Continual Learning

bioRxiv May 1, 2026
Accurate RNA secondary-structure prediction remains difficult despite decades of thermodynamics-based algorithms and the advent of deep-learning architectures (convolutional networks, Transformers, diffusion models). In fact, the datasets that pair R... read more 
synthetic biology

Tuned inhibitory control of neuronal firing thresholds explains predictive sensorimotor behavior

bioRxiv May 1, 2026
Prior expectations guide sensorimotor behavior when sensory information is uncertain, yet the cellular mechanisms underlying this integration remain elusive. Here, we investigate how priors in sensory motion direction shape neural population dynamics... read more 
neuroscience

ALEX: Automatic Language EXplanations for Interpreting Treatment Effects via Multi-Agents

medRxiv May 1, 2026
Precision medicine requires understanding the underlying drivers of heterogeneous treatment responses. Although machine learning methods have shown promise for estimating patient-specific treatment effects, their clinical utility remains limited beca... read more 
health informatics

Disease Risk Prediction Using Structured EHR Data: Can Generalist Large Language Models Match Specialized Clinical Foundation Models? A Comparative Evaluation with Fine-Tuning

medRxiv May 1, 2026
Background: Electronic health records (EHRs) with clinical decision support tools are now ubiquitous in healthcare organizations. Clinical foundation models (CFMs) pretrained on large-scale, heterogeneous structured EHR data have emerged as a powerfu... read more 
health informatics

Machine Learning-Assisted Feature Selection Identifies the Joint Association of Body Mass Index and Periaortic Adipose Tissue as a Risk Factor for Aortic Dissection: A Multicenter Retrospective Study

medRxiv May 1, 2026
BACKGROUND: Aortic dissection (AD) is a life-threatening emergency with high mortality. Although elevated body mass index (BMI) is associated with both AD incidence and mortality, the underlying mechanisms remain unclear. Periaortic adipose tissue (P... read more 
surgery

Unmasking Disparities in Caesarean Section Utilization in Nigeria: A K-Means Cluster Analysis of Obstetric Risk Profiles Using Machine Learning Approach

medRxiv May 1, 2026
Caesarean section rates in Nigeria remain suboptimal, with significant disparities across socioeconomic and geographic strata. The objective of this research is to identify and characterize distinct obstetric risk profiles associated with caesarean s... read more 
epidemiology

AERO: An AI Agent for Adaptive Eligibility Refinement and Optimization of Clinical Trial Criteria in Real-World Trial Emulation

medRxiv May 1, 2026
Randomized controlled trials (RCTs) provide high internal validity but often rely on restrictive eligibility criteria that limit generalizability and complicate real-world trial emulation. We propose AERO (AI Agent for Adaptive Eligibility Refinement... read more 
health informatics
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