Artificial Intelligence Medical Compendium

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

Showing 6,261 to 6,270 of 205,745 articles

AI Chatbots as Emerging Tools in Youth Mental Health Help-Seeking: Insights from New Jersey Youth

medRxiv Jun 2, 2026
Youth in the United States are experiencing growing mental health challenges, yet many face barriers to accessing timely, affordable, and stigma-free support. At the same time, artificial intelligence (AI) chatbots have become widely available and ar... read more 
public and global health

Quantifying and Predicting the Difficulty of Multiple Sequence Alignment with AlDiScore

bioRxiv Jun 2, 2026
Multiple Sequence Alignment (MSA) constitutes an important and frequent operation in molecular sequence data analysis. There exist numerous tools, algorithms, and criteria to infer an MSA. This plethora of available approaches to MSA may induced an e... read more 
bioinformatics

Real-time artificial intelligence prediction of peptide characteristics and MSFragger search improves multiplexed quantification of non-canonical HLA presented peptides in clear cell renal cell carcinoma.

bioRxiv Jun 2, 2026
Non-canonical HLA-presented peptides are promising therapeutic targets, but their low abundance makes them difficult to reproducibly identify and quantify, particularly in multiplexed immunopeptidomics workflows. Here we present MIRA-MS (Model-Inform... read more 
cancer biology

ATI_Box: A Simple tool for convolutional neural network-based image semantic segmentation

bioRxiv Jun 2, 2026
Quantitative analysis of microscopic images has become a standard in basic biological and biomedical research. Deep machine learning provided a powerful tool facilitating this process. However, practical adoption of deep machine learning to image ana... read more 
bioinformatics

Combining transcriptomic resolutions and machine learning strategies uncovers new OXPHOS genes in Caenorhabditis elegans

bioRxiv Jun 2, 2026
Assigning functions to genes remains a major challenge in biology, as a large fraction of genes remain unannotated despite the availability of complete genomes. Oxidative phosphorylation (OXPHOS), the primary source of ATP in eukaryotes, exemplifies ... read more 
bioinformatics

PepForge: Hierarchical HELM-Based Peptide Generation

bioRxiv Jun 2, 2026
Peptides carrying special connections such as macrocyclizations and various other structural modifications constitute a major class among peptide therapeutics, yet their chemical space remains largely inaccessible to computational generation methods.... read more 
bioinformatics

Category selectivity observed in the human brain is distinct from category selectivity observed in artificial neural networks

bioRxiv Jun 2, 2026
Category selectivity for images of faces, scenes, and bodies is among the most striking and reproducible findings in vision neuroscience. Artificial neural networks (ANNs) trained on visual tasks also develop category-selective units, which has led t... read more 
neuroscience

Physics-guided design of intrinsically disordered proteins

bioRxiv Jun 2, 2026
Intrinsically disordered protein regions (IDPs) are found across the tree of life and characterized by the lack of a stable 3D fold, encoding function through a vast ensemble of conformations. This plasticity makes rational design of IDPs challenging... read more 
biophysics

SNV and indel error modeling of deep targeted cell-free DNA sequencing data for sensitive detection of circulating tumor DNA in colorectal cancer

bioRxiv Jun 2, 2026
Circulating tumor DNA (ctDNA) is a promising biomarker for cancer detection, but low tumor burden makes it difficult to distinguish true signal from background noise. To aggregate and better evaluate weak mutational signals, we propose PyDREAMS, whic... read more 
bioinformatics

Equitable Health Intelligence: An Open Benchmark of Multi-Population Machine Learning for Omics-Based Cancer Prognosis

bioRxiv Jun 2, 2026
Purpose: Machine learning (ML) models for omics-based cancer prognosis are often trained on data from predominantly European-ancestry populations, producing biased predictions for other populations and undermining equitable genomic medicine. Existing... read more 
bioinformatics
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