Artificial Intelligence Medical Compendium

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

Showing 1,671 to 1,680 of 213,568 articles

Decoding the oxytocinergic and behavioral signatures of milk ejection

bioRxiv Jul 17, 2026
Oxytocin-mediated milk ejection (ME) is pivotal to effective breastfeeding and productive health, yet behaviorally decoding and revealing neural mechanisms of ME remains challenging. Here, we combined in vivo calcium imaging and intramammary pressure... read more 
neuroscience

SemVac: A Semantic Vaccinology Paradigm Powered by LLMs for Antigen Discovery

bioRxiv Jul 17, 2026
Reverse vaccinology has enabled sequence-based antigen discovery, but it overlooks the rich semantic knowledge embedded in the biomedical literature. Here we establish Semantic Vaccinology (SemVac), a paradigm that leverages large language models (LL... read more 
immunology

A hybrid approach combining a phylogenetic method and Approximate Bayesian Computation Random Forest for phylogenetic network inference: application to the rice domestication process in Asia

bioRxiv Jul 17, 2026
Asian rice is one of the best documented crops in terms of genetic diversity. The domestication process, that probably started 9000 years ago in China, remains difficult to infer since the main vertical signal is blurred by horizontal signals related... read more 
evolutionary biology

Coupled Cell-Intrinsic and Microenvironmental Heterogeneity Drives Divergent Trajectories in Castration-Resistant Prostate Cancer

bioRxiv Jul 17, 2026
Castration-resistant prostate cancer emerges from coupling between cell-intrinsic heterogeneity and microenvironmental constraints. Mechanistically dissecting this coupling, rather than either factor in isolation, is the central aim of this study. To... read more 
systems biology

A Glycan-Aware Diffusion Model for Carbohydrate and Glycoprotein Structure Prediction

bioRxiv Jul 17, 2026
Biomolecular diffusion models can now predict proteins and heterogeneous complexes, but glycans remain difficult because their branched topology, conformational flexibility, and strict stereochemical rules must be captured simultaneously. We develope... read more 
biophysics

Bifurcation Structure and Cross Nuclei Universality Govern Frequency-Selective Deep Brain Stimulation

bioRxiv Jul 16, 2026
High-frequency deep brain stimulation (DBS, >90 Hz) reliably suppresses Parkinsonian motor symptoms, whereas sub-therapeutic frequencies (<60 Hz) worsen them, yet the circuit mechanism underlying this frequency selectivity remains unresolved. We deve... read more 
neuroscience

Surprisal contributes little beyond contextual embeddings in high-gamma ECoG encoding

bioRxiv Jul 16, 2026
Surprisal and contextual embeddings are both derived from large language models and are widely used to predict neural responses during language comprehension, but it is unclear whether surprisal adds information beyond embeddings. We test this direct... read more 
neuroscience

Evaluating the use of non-linear models in data-driven rescoring of peptide-spectrum matches

bioRxiv Jul 16, 2026
In mass spectrometry (MS)-based proteomics, computational tools match acquired tandem MS spectra to peptides from a sequence database. Machine learning increasingly supports this task through peptide-spectrum match (PSM) rescoring, in which a classif... read more 
bioinformatics

What Do Generative Models Learn About Adaptive Immune Receptor Repertoires? A Benchmark Study

bioRxiv Jul 16, 2026
Generative models are increasingly used to model adaptive immune receptor repertoire (AIRR) sequence distributions, promising to decode the sequence diversity shaping immune responses and accelerate the design of therapeutic antibodies and T-cell rec... read more 
immunology

Site-dependent transcriptomic signatures of endometriosis are conserved across hormonal states

bioRxiv Jul 16, 2026
Endometriosis, a chronic condition in which endometrial tissue grows at other sites in the body, produces lesions whose gene expression profiles vary by anatomical location and menstrual cycle stage. The extent to which these location-dependent trans... read more 
bioinformatics
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