Artificial Intelligence Medical Compendium

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

Showing 49,021 to 49,030 of 224,513 articles

Benchmarking Large Language Models for Predicting Therapeutic Antisense Oligonucleotide Efficacy

bioRxiv
Antisense oligonucleotides (ASOs) are a promising class of therapeutic agents capable of selectively modulating gene expression and treating a wide range of genetic and neurological disorders. Accurate prediction of ASO efficacy is essential for acce... read more 

LLM-PathwayCurator transforms enrichment terms into audit-gated decision-grade claims

bioRxiv
Pathway enrichment of omics data requires careful interpretation, and LLM-PathwayCurator transforms enrichment outputs into auditable, evidence-linked claims with redundancy-highlighting module mapping. Across seven cohorts from The Cancer Genome Atl... read more 

Foundation Models Improve Perturbation Response Prediction

bioRxiv
Predicting cellular responses to genetic or chemical perturbations has been a long-standing goal in biology. Recent applications of foundation models to this task have yielded contradictory results regarding their superiority over simple baselines. W... read more 

Neural Representational Geometry of Feature Binding Operations

bioRxiv
The brain faces the feature binding problem: how are multiple stimulus features and variables combined into coherent representations that support flexible behavior? A key finding from neuroscience is that some brain regions employ factorized represen... read more 

Intragenic methylation repatterning is associated with alternative splicing and unique epigenetic phenotypes

bioRxiv
The role of intragenic cytosine methylation in shaping phenotypes has been contentious. Recent studies show association between stress and alternative splicing of transcripts, but without functional genome-wide or single-position analysis. We utilize... read more 

Pan-cell-type prediction of splicing patterns from sequence and splicing factor expression

bioRxiv
Alternative splicing is a core determinant of cell-type-specific gene expression in humans, and its dysregulation contributes to many diseases including neurodegeneration, autoimmunity, and cancer. However, current deep learning models for predicting... read more 

On why and how to encode probability distributions on graph representations of omics data: enhancing predictive tasks and knowledge discovery

bioRxiv
The growing availability and complexity of omics data have driven the development of specialized algorithms for modeling molecular systems. Although graph-based learning methods effectively represent biological interactions, they often neglect the st... read more 

GFMBench-API: A Standardized Interface for Benchmarking Genomic Foundation Models

bioRxiv
The rapid scaling of Genomic Foundation Models (GFMs) has created a critical need for standardized evaluation frameworks. Current benchmarking practices are often fragmented, relying on model-specific preprocessing and inconsistent metric implementat... read more 

(How) Do Health Shocks Reallocate Research Direction?

medRxiv
We examine whether research systems reallocate scientific effort as health needs change. We assemble a global disease-location panel for 204 countries and territories (1990-2021) by linking disease-specific publication output to disease burden in the... read more 

Automatic pain face analysis in mice: Applied to a varied dataset with non-standardized conditions

bioRxiv
Biomedical research relies on scientifically validated tools to assess pain, suffering, and distress in laboratory animals to ensure their well-being. In mice, the most frequently used laboratory animals, the Mouse Grimace Scale (MGS) provides a reli... read more