Artificial Intelligence Medical Compendium

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

Showing 27,671 to 27,680 of 218,939 articles

Proximity-Aware Graph Attention Networks for Spatially Resolved Cell-Cell Inference

bioRxiv Apr 23, 2026
Cell-cell inference is a fundamental mechanism driving tissue homeostasis, immune regulation, and disease progression. Existing CCC inference tools operate on dissociated single-cell RNA-seq data, discarding the spatial constraints that govern short-... read more 
bioinformatics

Metaxa: A Transformer-Based Deep Learning Model for Taxonomic Classification of Long Nanopore Reads

bioRxiv Apr 23, 2026
A significant fraction of the microbial diversity remains unclassified, hindering our understanding of microbial roles in health and ecosystems. State-of-the-art methods like Kraken 2 perform well for taxa that are present in the database. However, t... read more 
bioinformatics

Aiki-XP: leakage-controlled multimodal prediction of within-species relative protein expression at pan-bacterial scale

bioRxiv Apr 23, 2026
Generalizable protein-expression prediction can accelerate protein engineering, inform disease mechanisms, and help optimize heterologous recombinant protein production. Protein expression is governed by many interacting parameters that no single omi... read more 
bioinformatics

Correlation-based binocular disparity computations induce representational bottlenecks at the population level

bioRxiv Apr 23, 2026
Binocular stereopsis depends on comparing the images seen by the two eyes. Although correlation-based models explain responses of individual binocular neurons in primary visual cortex (V1), it remains elusive whether such computations can support dep... read more 
neuroscience

Back to BERT in 2026: ModernGENA as a Strong, Efficient Baseline for DNA Foundation Models

bioRxiv Apr 23, 2026
Recent advances in DNA language models have mainly come from building larger and more complex architectures, making it harder to understand the effect of changes to standard components such as the transformer layers widely used in NLP. In this work, ... read more 
bioinformatics

OneGenomeRice (OGR): A Genomic Foundation Model for Rice

bioRxiv Apr 23, 2026
The transition of genomics to a predictive intelligence discipline is driven by the advent of genomic foundation models. While substantial progress has been observed in human-centric models, plant genomics, particularly for the staple crops, remains ... read more 
genomics

EpiRanha: Hunting for Epitope Similarity with a Structure- and Residue-Aware Graph Neural Network

bioRxiv Apr 23, 2026
Precise epitope recognition underpins the efficacy and safety of therapeutic antibodies, yet existing approaches to epitope similarity scoring rely largely on sequence identity or rigid structural superposition, limiting their ability to robustly ass... read more 
bioinformatics

Machine Learning Approach for Enumeration of Circulating Cells with Diffuse in vivo Flow Cytometry

bioRxiv Apr 23, 2026
Significance: Diffuse in vivo flow cytometry (DiFC) is an emerging technique for enumerating rare, fluorescently-labeled circulating tumor cells (CTCs) in small animals without drawing blood samples. DiFC uses detection of transient fluorescent peaks... read more 
bioengineering

An autonomous LLM agent platform for computational binder design and conjugation-aware prioritization of antibody drug conjugates

bioRxiv Apr 23, 2026
Large language model (LLM) agents have automated tool use in chemistry, but orchestrating multi step computational biology workflows spanning structure prediction, protein design, and covalent conjugation remains manually intensive. Here we present O... read more 
bioinformatics

Glio-SERS: Label-Free Molecular Profiling of Plasma Extracellular Vesicles in Brain Tumors Using SERS and Artificial Intelligence

bioRxiv Apr 23, 2026
Extracellular vesicles are increasingly recognized as important carriers of disease-associated molecular information, yet robust methods for their isolation and molecular characterization from limited clinical samples remain challenging. Here, we pre... read more 
bioengineering
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