Artificial Intelligence Medical Compendium

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

Showing 23,121 to 23,130 of 217,176 articles

Functional Profiling of Thousands of Sequence-Diverse Protease Homologs with GROQ-seq

bioRxiv
High-quality datasets that span broad sequence diversity are essential for understanding protein sequence-function relationships beyond local mutational landscapes. Here, we applied Growth-based Quantitative Sequencing (GROQ-seq) to measure function ... read more 

Transfer Learning Enables Drug-Target Interaction Prediction in Data-Scarce One-Carbon Metabolism

bioRxiv
Predicting drug-target interactions (DTIs) with deep learning offers opportunities to accelerate drug discovery, yet performance is constrained by the scarcity of target-specific training data. This is a particular challenge for mitochondrial one-car... read more 

Automated behavioral segmentation and markerless pose tracking of mice during spaceflight

bioRxiv
The NASA Rodent Habitat aboard the International Space Station enabled long-duration studies of behavioral responses to spaceflight, but video-based behavioral analysis has relied on laborious manual annotation. No study has tested whether deep learn... read more 

Learning the structural diversity in random protein sequence space

bioRxiv
The universe of possible protein sequences is astronomically large, yet our understanding of the sequence-structure relationship is confined to the infinitesimal fraction used currently by life. Determining whether "foldable" architectures are rare s... read more 

Comparative single-cell transcriptomic roadmap of mammalian fetal ovarian development

bioRxiv
Early ovarian development establishes the cellular basis of female reproduction, yet its cellular composition and developmental dynamics remain poorly characterized across mammalian species. Here, we generated a cross-species single-cell transcriptom... read more 

Combinatorial epigenomic patterns define regulatory programs underlying disease heterogeneity

bioRxiv
Disease is a heterogeneous process that involves multiple organs and cell types. Understanding how genomic variation contributes to disease requires approaches that move beyond the linear assumptions of additive models and resolve underlying disease ... read more 

Machine learning approaches for the identification and analysis of enterotoxin genes in Staphylococcus aureus genomes

bioRxiv
Staphylococcus aureus produces a broad range of enterotoxins that act as superantigens, disrupting host immune responses and resulting in a myriad of clinical symptoms. However, large-scale analyses determining enterotoxin gene diversity, lineage str... read more 

Fast and Ultra-Capable Protein Design: Advancing the Frontier Through Atomistic SE(3)-Equivariance with Genie 3

bioRxiv
Despite the breakneck pace of progress in protein design methodology, frontier problems remain challenging, with leading methods struggling to design high-affinity binders, scaffold multiple functional motifs, or stabilize large multi-domain proteins... read more 

Uncertainty-aware localization microscopy by variational diffusion

bioRxiv
Fast extraction of physically relevant information from images using deep neural networks has led to significant advances in fluorescence microscopy and its application to the study of biological systems. For example, the application of deep networks... read more 

STAT: A multi-agent framework for integrated and interactive spatial transcriptomics analysis

bioRxiv
Spatial transcriptomics analysis often involves a myriad of computational methods across diverse platforms, leading analysts to spend excessive time on data assembly rather than deriving biological insights. Current AI solutions tend to either oversi... read more