Artificial Intelligence Medical Compendium

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

Showing 2,331 to 2,340 of 202,214 articles

Sensorimotor encoding of epistemic value during goal-directed causal learning

bioRxiv Jun 4, 2026
Understanding the neural and computational mechanisms underlying goal-directed causal learning is a central challenge in both cognitive neuroscience and artificial intelligence. This cognitive function depends on balancing reward maximization with in... read more 
neuroscience

Evolution and mechanism of MEIS2-mediated forelimb specialization in bats

bioRxiv Jun 4, 2026
The genomic basis of limb adaptations in tetrapods is thought to be largely driven by changes in gene regulation. However, the mechanisms by which regulatory programs evolve are not well understood. In bats, wing membrane development has been shown t... read more 
evolutionary biology

Modelling antibody structures at the speed of language

bioRxiv Jun 4, 2026
Protein structure prediction is currently substantially slower than obtaining sequence representations of proteins. This leads to most property prediction methods relying solely on trivial or learned sequence embeddings. However, contemporary structu... read more 
molecular biology

An interpretable machine learning framework for dog breed inference and ancestry decomposition

bioRxiv Jun 4, 2026
The over 300 currently recognized breeds of domesticated dogs are the culmination of centuries of intense artificial selection and recurrent population bottlenecks. While breed labels are widely used in genetic and veterinary studies, inferring breed... read more 
bioinformatics

Distinct associations between multimodal brain measures and psychopathology domains predict adolescent functioning

bioRxiv Jun 4, 2026
Adolescent psychopathology is partly rooted in measurable disruptions across key neural networks, yet the field still lacks an integrated, multimodal understanding of these brain-behavior links. Here, we examined how structural, microstructural, and ... read more 
neuroscience

Vibe Coding Specificity Foundation Models

bioRxiv Jun 4, 2026
Molecular recognition - the determination of which agent binds which target - governs adaptive immunity, gene regulation, signal transduction, RNA silencing, enzyme catalysis, and the selectivity of therapeutics. Determining binding specificity remai... read more 
synthetic biology

OmniGene-4: A Unified Bio-Language MoE Model with Router-Level Interpretability

bioRxiv Jun 4, 2026
How do multi-modal large language models that jointly process natural language and biological sequences (DNA, protein, structural alphabets) actually answer biological questions, especially sequence-grounded questions whose answer depends on residue-... read more 
bioinformatics

Reproducibility of electroencephalography alpha band biomarkers for diagnosis of major depressive disorder

medRxiv Jun 4, 2026
Major depressive disorder (MDD) and other psychiatric diseases can greatly benefit from objective decision support in diagnosis and therapy. Machine learning approaches based on biomarkers extracted from electroencephalography (EEG) have the potentia... read more 
psychiatry and clinical psychology

Relational homeostatic scaling supports stable rate-code transmission under noise and heterogeneity

bioRxiv Jun 4, 2026
Reliable transmission of firing-rate signals through neural circuits requires synaptic coupling to remain within a narrow regime shaped by neuronal heterogeneity and noise. Outside this regime, classical theory predicts that activity will dissipate o... read more 
neuroscience

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
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