Artificial Intelligence Medical Compendium

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

Showing 58,771 to 58,780 of 227,634 articles

EpiTADformer: A Transformer-Based Model for High-Resolution TAD Boundary Detection Using Epigenomic Signal Embeddings

bioRxiv
The human genome is partitioned at different levels of 3D genome organization, with topologically associating domains (TADs) being among the most well-known and biologically important structures. TAD boundary disruption is associated with a wide rang... read more 

AMPBAN: A Deep Learning Framework Integrating Protein Sequence and Structural Features for Antimicrobial Peptide Prediction

bioRxiv
The escalating crisis of antimicrobial resistance poses a devastating and immediate threat to human life. Antimicrobial peptides (AMPs) are a promising antibiotic substitute to combat antimicrobial resistance. Compared with the traditional wet-lab sc... read more 

ARID-sf: A physics-informed Deep Learning scoring function to improve Antibody-Antigen docking model ranking

bioRxiv
Accurate prediction of antibody-antigen (Ab-Ag) complexation is crucial for understanding immune responses, diagnostics, and the development of therapeutic antibodies. While molecular docking generates conformations, current scoring functions struggl... read more 

Artificial Intelligence-Enabled Echocardiographic Assessment of Right Ventricular Function

medRxiv
Background: Right ventricular (RV) function is an important predictor of morbidity and mortality in various cardiovascular conditions. Nevertheless, its echocardiographic assessment is challenging due to its complex anatomy and location in the chest,... read more 

Gene-exposure interactions regulate cytokine-mediated chronic inflammation and cardiac remodeling

medRxiv
Background: Chronic inflammation predicts adverse cardiovascular outcomes, but mechanisms linking systemic inflammation to cardiac remodeling remain incompletely understood. We investigated associations between circulating inflammatory biomarkers and... read more 

Freezing Prediction Horizon: Quantifying Advanced Warning for Predicting Freezing of Gait in Parkinson's Disease

medRxiv
Freezing of gait (FoG) prediction is clinically meaningful only when warnings arrive sufficiently early for subsequent action. Therefore, we adopt a Freezing Prediction Horizon (FPH) evaluation that reports prediction performance as a function of the... read more 

Camera-Agnostic Autonomous Diagnosis of Glaucomatous Optic Neuropathy using Macular Fundus Imaging and Machine Learning

medRxiv
Abstract Purpose: Glaucoma, a leading cause of irreversible vision loss, often remains undiagnosed due to its asymptomatic progression and the limitations of existing screening methods. This study aimed to validate an artificial intelligence machine ... read more 

AI-generated data contamination erodes pathological variability and diagnostic reliability

medRxiv
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI generated data. However, the clinical consequences... read more 

Benchmarking LLM-based Information Extraction Tools for Medical Documents

medRxiv
Motivation: Medical documents are a crucial resource for medical research around the world. While troves of valuable health data exist, they are largely computationally inaccessible as hard copies of unstructured text, often with degraded quality due... read more 

Machine learning identifies shared blood transcriptional biomarkers and immune correlates across antiphospholipid syndrome and systemic sclerosis

medRxiv
Antiphospholipid syndrome (APS) and systemic sclerosis (SSc) are immune-mediated multisystem autoimmune diseases with distinct clinical phenotypes but overlapping pathogenic themes, including immune dysregulation, chronic inflammation, and endothelia... read more