AI-bio preprints (medRxiv + bioRxiv)

A rolling feed of 60 recent preprints (50 clinical medRxiv · 10 bioRxiv) whose content is AI/ML-focused, filterable by topic. Preprints are NOT peer-reviewed — read with care. Each links straight to the original; abstracts belong to their authors.

Source: medRxiv / bioRxiv · updated July 13, 2026 ICML 2026 collection → arXiv AI-bio feed →

medRxiv Genomics Clinical & Healthcare

EAGLE-AI: A large language model workflow for automated extraction and scoring of literature evidence linking genes to autism spectrum disorder

V. Furlan, J. Moran, N. B. Salazar, O. Rennie +6

We previously developed the Evaluation of Autism Gene Link Evidence (EAGLE) curation framework and usit to characterise 219 autism-associated genes. However, this took years of…

EAGLE-AI: A large language model workflow for automated extraction and scoring of literature evidence linking genes to autism spectrum disorder

Extracting patient reported cannabis use and reasons for use from electronic health records: a benchmarking study of large language models

DentaCoPilot: An LLM-Augmented Next-Procedure Recommender for General Dentistry, Designed for Dentist Augmentation

Sequential Deep Learning to Predict Non-Central to Central Geographic Atrophy Progression from OCT Imaging

A blinded, counterbalanced rater design for evaluating AI-assisted summarisation of tertiary clinical genomics reports: methodology of the QNOMX-VHIR-CPSP-001 Phase 1 study

Multi-omics data fusion reveals divergent molecular signatures of intra-articular micro-fragmented adipose tissue and hyaluronic acid treatment in inflammatory-phenotype knee osteoarthritis

Multisite Real-World Validation of an Electronic Health Record-Integrated Generative Artificial Intelligence Tool for Venous Thromboembolism Risk Stratification

Agentic Artificial Intelligence for Hospital Readmission Review: A Single-Center Blinded Evaluation and Exploratory Qualitative Analysis

Validation of an Artificial Intelligence-Assisted Mobile Application for Dietary Oxalate Assessment in Kidney Stone Prevention

Extraction of Glaucoma Diagnosis, Type, and Severity from Clinical Notes using Secure Cloud-based Large Language Models

The Unreliable Judges: Assessing Reproducibility and Self-Preference Bias of LLMs as Free-Text Evaluators

Adverse Childhood Experiences and Growth Outcomes in Childhood: A Longitudinal EHR-Based Study

MOSAIC: Methylation-Oriented Site Analysis and Information Classifier for Robust Epigenomic Classification of Acute Leukemia in Clinical Cohorts with Variable Tumor Purity

Artificial Intelligence-informed mobile behavioural interventions to support adolescents mental health in schools: protocol for a randomised controlled trial using the MindCraft app

Evaluating Deep-Learning Based Quantification of Breast Arterial Calcification on Mammography for Cardiovascular Risk Assessment

Human Intuition vs. Computational Precision: Neurologists, Feature-based Models, and Deep Learning for Stroke Prognosis

Predicting Motor Recovery After Stroke: Utility and Limits of Corticospinal Tract Biomarkers

AlphaGenome identifies a deep intronic variant in a family with PLA2G6-associated neurodegeneration: Closing the diagnostic gap in rare genetic diseases

Hard to Halt: Automation Bias in Agent-Driven Sequencing Prior Authorization Workflows

Comparative Evaluation of Pretrained Large Language Models for Suicide Risk Prediction from Clinical Notes in U.S. Veterans

From Paper Letters to an Integrated Digital Workflow: Improving Efficiency, Reliability, and Engagement in Health Guidance

Chest X-Ray as a critical screening tool for Household Contacts of TB: Lessons from Three Years of Programmatic Data in India

Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans

Method comparisons for differentiation of Schizophrenia and Bipolar based on rs-fMRI Intrinsic and Functional Networks

Nickel and Dimed: How a Common Earth Element is Short-Changing Our Health

Silent Manipulation of Mental Health Treatment Recommendations from a Large Language Model

Wearable-Grade Lead Reduction Disproportionately Degrades ECG AI Performance in Elderly Patients: Evidence from PTB-XL and MIT-BIH

Identifying anaphylaxis using weakly-supervised prediction models and natural language processing

LLM-Driven Extraction of NI-RADS and Imaging Tumor Characteristics to Enhance Oropharyngeal Cancer Survivorship Surveillance

Cross-Device Adaptation of Mirai for Mammography-Based Breast Cancer Risk Prediction

Deep learning for interactive and automated inner retinal layer segmentation in OCT images of patients with retinitis pigmentosa using limited training data

MedAgent: A Retrieval-Augmented Clinical Decision Support Agent with Verifiable Evidence Grounding for Evidence-Based Medicine

WITHDRAWN: Advancing Breast Cancer-AI Diagnostics: An Explainable Deep Learning Model Using 2D Grayscale Ultrasound Imaging

Usability testing with a prototype user interface of an Artificial Intelligence driven air-Safety Tool (AISaT)

Utilising Artificial Intelligence to Identify Ventricular Tachycardia Ablation Targets in Sinus Rhythm

Ranking-optimized survival models can underperform fixed-horizon clinical prediction: a SUPPORT2 reanalysis of machine learning, attending-physician judgment, and the original SUPPORT model at 60- and 180-day mortality

A MULTICENTER SWEDISH HISTOPATHOLOGY IMAGE DATASET OF PEDIATRIC CENTRAL NERVOUS SYSTEM TUMORS

AI-assisted continuous-time modelling of metastatic breast cancer reveals subtype-specific spatiotemporal organ interactions

Presurgical immune biomarkers associated with pain intensity and pain interference recovery after total knee arthroplasty: findings from the PRIME-KNEE study

Single-allele chromatin folding is organized by recurrent motifs that are reweighted across cell types and states

Robust integration of weakly anchored spatial multi-omics

Identifying Modulators of Cellular Responses by Heterogeneity-sequencing

Super Learner Ensemble Modeling of CPTAC Proteomic Data for Survival Prediction in Head and Neck Squamous Cell Carcinoma

RareFold: Structure prediction and design of proteins with noncanonical amino acids

PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns

A Transformer-derived transcriptomic score associates with ex-vivo drug response in AML

scIsoAgent enables autonomous isoform-resolved characterization and sequence-informed interpretation of long-read single-cell transcriptomes

Machine learning surrogate forward models for biomechanical laryngeal control

BoltzGen: Toward Universal Binder Design

GLLaucoMed: A Secure LLM-Powered Agentic Workflow for Automated Medication Extraction from Free-Text Glaucoma Clinical Notes

Cost-Performance Evaluation of Large Language Models for Aspect-Based Sentiment Analysis of HCAHPS Patient Comments: A Validation Study

SPIRIT-CONSORT-ELM: Element-Level Assessment of Randomized Controlled Trial Reporting Using Large Language Models

Comparative Analysis of Machine Learning Models vs. Traditional Clinical Calculators for Cardiovascular Risk Prediction

Natural Language Processing Based Solution for Labeling Brain Metastasis Identified in Radiology Reports

Data-Driven Stochastic Model for Detecting Patientswith Alzheimer's Disease

Evaluating Large Language Models for Assessment of Psychosis Risk

VarEx: A Large Language Model Pipeline for Automated Extraction of Exposures, Outcomes, and Covariates from Epidemiologic Studies

Evaluation of AI-Generated Synthetic Data for Clinical Research in Secondary Cardiovascular Prevention among Dyslipidemia Patients

A data-driven consensus framework for Ct interpretation in real-world multi-assay qPCR diagnostics

Artificial Intelligence-Based Detection of Airway Mucus Plugs on CT and Associations With Clinical Outcomes in COPDGene