Artificial Intelligence Medical Compendium

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

Showing 37,321 to 37,330 of 223,469 articles

Screening for prostate cancer using PSA with and without MRI: systematic reviews with meta-analysis

medRxiv Mar 31, 2026
Background: Previous recommendations on screening for prostate cancer relied on ongoing trials of screening with prostate-specific antigen (PSA), which may have lacked sufficient follow-up duration to fully examine effects on mortality and overdiagno... read more 
primary care research

Predicting long-term adverse outcomes after neonatal intensive care

medRxiv Mar 31, 2026
Neonates requiring intensive care are at increased risk for long-term neuropsychiatric disorders. However, clinical adoption of risk prediction models remains limited when their performance lacks adequate interpretability for informed clinical decisi... read more 
pediatrics

Deep representation learning for temporal inference in cancer omics: a systematic review

bioRxiv Mar 31, 2026
Deep learning methods, including deep representation learning (DRL) approaches such as variational autoencoders (VAEs), have been widely applied to cancer omics data to address the high dimensionality of these datasets. Despite remarkable advances, c... read more 
bioinformatics

Integrated single-cell and bulk transcriptomic analysis leverages liver metastasis-related genes to develop a prognostic model for colorectal cancer patients

bioRxiv Mar 30, 2026
Based on single-cell RNA sequencing data, differentially expressed genes (LMR DEGs) between colorectal cancer liver metastasis epithelium and primary colorectal cancer epithelium show potential as novel biomarkers for colorectal cancer prognosis. Thi... read more 
cancer biology

Naturalistic Stimulus Reconstruction from fMRI: A Primer in the Natural Scenes Dataset

bioRxiv Mar 30, 2026
Reconstructing natural images from brain activity represents one of the most compelling demonstrations of the synergy between modern neuroimaging and machine learning. However, the computational pipelines underlying these results remain scarcely acce... read more 
neuroscience

BrainYears: A functional EEG-based brain age clock enables intervention-ready measurements of brain aging

bioRxiv Mar 30, 2026
Biological brain aging is a major determinant of cognitive decline and neurodegenerative disease, yet scalable and intervention-ready brain aging biomarkers remain limited. Here, we develop an electroencephalography (EEG)-based brain age clock using ... read more 
bioinformatics

CLOP-DiT: Structured-Metadata-Conditioned Single-Cell Latent Generation via Contrastive Language-Omics Pretraining and Diffusion Transformers

bioRxiv Mar 30, 2026
Generating realistic single-cell transcriptomic profiles from structured biological descriptions would enable controlled simulation, data augmentation, and hypothesis-driven cell-state creation---yet no existing method combines text--cell alignment w... read more 
bioinformatics

Evolutionary exploration of drug-like chemical space utilizing generative AI and virtual screening

bioRxiv Mar 30, 2026
The identification of suitable lead molecules in the vast chemical space is a critical and challenging task in drug discovery campaigns. Recently, it has been demonstrated that large-scale virtual screening provides a powerful approach to accelerate ... read more 
bioinformatics

PHENOCAUZ: Linking Human Symptoms, Drug Side Effects and Efficacy to Their Molecular Causes Using Mendelian Disease Biology

bioRxiv Mar 30, 2026
Human diseases and adverse drug reactions are ultimately recognized through clinical symptoms, yet the molecular determinants of most symptoms remain unknown. To address this key issue, we present PHENOCAUZ, a computational framework that links sympt... read more 
bioinformatics

AINN-P1: A Compact Sequence-Only Protein Language Model Achieves Competitive Fitness Prediction on ProteinGym

bioRxiv Mar 30, 2026
Protein language models (PLMs) are increasingly central to protein engineering and drug discovery. Many high-performing systems, however, rely on large parameter counts, multiple sequence alignments (MSAs), explicit structural inputs, or computationa... read more 
bioinformatics
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