Artificial Intelligence Medical Compendium

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

Showing 58,461 to 58,470 of 227,634 articles

Development of a prediction model for infant hospitalization and death using clinical features assessed by community health workers during routine postnatal home visits in Dhaka, Bangladesh

medRxiv Jan 23, 2026
Introduction: To improve upon the World Health Organization (WHO) 8 danger signs used to identify young infants (<2 months) requiring referral during community health worker (CHW) home visits, aggregative features (e.g., cumulative visits with fever)... read more 
public and global health

Development and Multinational Validation of Artificial Intelligence-Enabled ASCVD Risk Stratification Using Electrocardiograms

medRxiv Jan 23, 2026
Aims: Despite the availability of clinical risk scores for atherosclerotic cardiovascular disease (ASCVD), their use is limited because the required predictor data are often missing. We developed and validated ECG-ASCVD, a scalable risk prediction pa... read more 
cardiovascular medicine

Beta Diversity Meta-Analysis Shows Transformations Have Broadly Similar Performance in Machine Learning Applications Regardless of Compositional or Phylogenetic Awareness

bioRxiv Jan 23, 2026
Background Beta diversity quantifies pairwise differences between two or more communities through matrix transformations, which are either naive to phylogeny or phylogenetically aware. Methods have recently been introduced that also consider composit... read more 
bioinformatics

Reprogramming BCMA-Targeted CAR-T Cells through γ-Secretase Modulation Blocks Antigen Shedding and Extends CAR-T Longevity

bioRxiv Jan 23, 2026
B-cell maturation antigen (BCMA) shedding by {gamma}-secretase generates soluble BCMA (sBCMA) , which diminishes membrane antigen density, and limits the durability of BCMA-directed immunotherapies in multiple myeloma (MM). Here, using AI-driven diff... read more 
immunology

AI-Powered Acoustic Surveillance for Early Detection of Calf Respiratory Disease

bioRxiv Jan 23, 2026
Effective management of Bovine Respiratory Disease Complex (BRDC) requires timely, non-invasive diagnostic tools to protect calf health and welfare. Among early clinical signs, coughing stands out as both frequent and informative. To explore its pote... read more 
zoology

TCRAD: An End-to-End Framework for Antigen-Targeted T Cell Receptor Design

bioRxiv Jan 23, 2026
Understanding and engineering T-cell receptor (TCR) specificity is central to personalized immunotherapy and antigen discovery. However, while antigen-conditioned TCR design approaches have begun to emerge, most frameworks still focus on scoring cand... read more 
bioinformatics

Ensemble Machine Learning Approaches Predict Survival in Lower-Grade Glioma Based on Glycosphingolipid Gene Expression and Metabolic Modelling

bioRxiv Jan 23, 2026
Glycosphingolipids (GSLs) are essential components of biological membranes with important roles in cell signalling. Disrupted GSL metabolism is associated with malignancy across a range of cancers, with different GSLs implicated in distinct tumours. ... read more 
bioinformatics

When Less Is Enough: Low-Rank Structure in DNA Sequence-to-Function Models

bioRxiv Jan 23, 2026
Motivation: The rapid success of deep learning sequence-to-function (S2F) models has driven a trend toward ever larger architectures for regulatory genomics. While these models achieve meaningful predictive performance, their growing size and computa... read more 
bioinformatics

AlphaGenome -enabled analysis of non-coding regulatory variants underlying RHD Expression

bioRxiv Jan 23, 2026
Systematic identification of functional non-coding regulatory variants remains a major challenge in human genetics. Conventional approaches such as large-scale CRISPR screening and genome-wide association studies (GWAS) are powerful but often prohibi... read more 
genomics

Beyond the Focus of Expansion: Retinal curl as a functional signal for heading estimation

bioRxiv Jan 23, 2026
Prevailing models aiming at explaining heading assume that humans need to recover the Focus of Expansion (FOE) while filtering out rotational flow (curl) caused by eye movements. We propose an alternative: the visual system utilizes retinal curl dire... read more 
neuroscience
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