Artificial Intelligence Medical Compendium

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

Showing 57,961 to 57,970 of 227,388 articles

Comparing optimal transport and machine learning approaches for databases merging in scenarios involving missing data in covariates.Application to Medical Research

bioRxiv
Motivation: One of the challenges encountered when merging heterogeneous observational clinical datasets is the recoding of categorical target variables that may have been measured differently across data sources. Standard machine learning-based appr... read more 

Transcriptomic profiling reveals neurophysiological gene candidates underlying vocal evolution in African clawed frogs

bioRxiv
Neurophysiologists have discovered many mechanisms underlying the production of animal behaviors in specific species; these involve a collection of neuromuscular systems, neuronal membrane and neural network properties, as well as the hormones and ne... read more 

LocAlign: Local Protein Structural Alignment with Geometric Deep Learning

bioRxiv
Identifying common function-determining structural motifs among proteins with different folds is a foundational task in computational biology with no go-to solution. Indeed, standard alignment tools like TM-align are ill-suited for matching small, se... read more 

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

bioRxiv
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflows that rely on fragmented software pipelines, workstation-grade GPUs, or external middleware to ena... read more 

Single-Cell Raman Profiling Enables Rapid Precision Phage Therapy Against Multidrug-Resistant Hypervirulent Klebsiella pneumoniae

bioRxiv
Multidrug-resistant hypervirulent Klebsiella pneumoniae (MDR-hvKP) poses a severe global health threat. Phage therapy is a promising alternative, but requires precise matching of phage to the bacterial strain. Here, we present a proof-of-concept meth... read more 

CoEVFold suite: user friendly pipelines to visually represent protein coevolution

bioRxiv
Multiple sequence alignment (MSA) data underlies current principles in protein folding and protein-protein interaction prediction, from which large language models (LLMs) in tandem with protein datasets, can predict protein structure. However, what i... read more 

Mechanistic Language Modeling and Oxygenated 3D Screening Reveal Berberine and Enzalutamide Synergy in Resistant Prostate Cancer

bioRxiv
Resistance to androgen receptor inhibitors remains a primary challenge in prostate cancer treatment, yet identifying synergistic co-therapies is hindered by immense combinatorial search spaces and the limited interpretability of predictive computatio... read more 

FusionPath: Gene fusion pathogenicity prediction using protein structural data and contextual protein embeddings

bioRxiv
Accurate prediction of gene fusion pathogenicity is critical for understanding oncogenic mechanisms and advancing precision oncology. While existing computational methods provide valuable insights, their performance remains limited by incomplete inte... read more 

Early Dementia Diagnosis in Older Adults through Machine Learning: A Cross-Sectional fMRI Data Analysis

medRxiv
Background: Early diagnosis of dementia can significantly improve care planning and patient outcomes while delaying progression. Machine learning algorithms can identify patterns in clinical and neuroimaging data that may aid in the early detection o... read more 

A Clinical Theory-Driven Deep Learning Model for Interpretable Autism Severity Prediction

medRxiv
Autism spectrum disorder (ASD) affects a substantial proportion of children worldwide, yet clinical assessment of symptom severity remains resource-intensive and unevenly accessible. Artificial intelligence (AI) has transformative potential to suppor... read more