Artificial Intelligence Medical Compendium

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

Showing 58,011 to 58,020 of 227,388 articles

Population-Scale Analysis of Frequency-Dependent Calcium Dynamics in Retinal Ganglion Cells Under Electric Field Stimulation

bioRxiv Jan 25, 2026
Electric field (EF) stimulation is an emerging neuromodulatory strategy for promoting the repair and functional recovery of degenerated neural networks in neurodegenerative conditions such as glaucoma. EF stimulation therapeutic potential is thought ... read more 
bioengineering

Surf2Spot: A Surface-Informed Geometry-Aware Model for Predicting Binder and Nanobody Design Hotspots

bioRxiv Jan 25, 2026
Protein-protein interactions (PPIs) and nanobody-antigen interactions (NAIs) play essential roles in cellular function, yet accurate hotspot prediction remains challenging. We present Surf2Spot, a deep learning framework that integrates sequence embe... read more 
bioinformatics

IGF-like growth factors that couple food sensing to developmental decisions employ different release mechanisms in a single pair of C. elegans chemosensory neurons

bioRxiv Jan 25, 2026
Sensory neurons modulate organismal physiology and behavior in part by releasing neuropeptides and neurotrophins or growth factors, via the dense core vesicle (DCV) pathway. The precise matching of the sensory input to the identity of released vesicl... read more 
cell biology

FoldVision: A compute-efficient atom-level 3D protein encoder

bioRxiv Jan 25, 2026
Protein function emerges from three-dimensional structure, yet many large-scale protein prediction pipelines still rely solely on linear sequence embeddings. Although multiple structure-aware protein networks have been proposed, they often omit atom-... read more 
biochemistry

The marine microbiome can accurately predict its chemical and biological environment

bioRxiv Jan 25, 2026
The microbiome responds to physicochemical changes in the environment, making it a sensitive indicator of ecosystem status. Monitoring microbial communities in aquatic systems is therefore essential for understanding ecosystem health and responses to... read more 
microbiology

NanoSimFormer: An end-to-end Transformer-based simulator for nanopore sequencing signal data

bioRxiv Jan 25, 2026
Nanopore sequencing has achieved a new standard of accuracy with the advent of R10.4.1 flow cell and high-performance Transformer-based basecalling models. However, existing signal simulators often fail to capture the complex, non-linear dynamics of ... read more 
bioinformatics

Multimodal Fusion of Pathology Free-Text and Clinical Data Enhances Complication-Risk Discrimination After Implant-Based Breast Reconstruction

medRxiv Jan 25, 2026
Implant-based breast reconstruction is the most common surgical option following mastectomy for breast cancer. Despite its prevalence, up to one-third of patients develop complications within two years. Existing machine-learning models for predicting... read more 
health informatics

Automated Intracranial Thrombus Segmentation from CT Images of Patients with Acute Ischemic Stroke: A Dual-Channel nnU-Net Approach with Uncertainty Quantification

medRxiv Jan 25, 2026
Background: Automated thrombus segmentation on CT imaging could enable routine extraction of clot volume and other biomarkers in large vessel occlusion (LVO) stroke, but current deep learning models provide deterministic masks without indicating when... read more 
neurology

Prognostic Risk Refinement using Artificial Intelligence in HR+/HER2- Early Breast Cancer: Implications for CDK4/6 Eligibility Criteria

medRxiv Jan 25, 2026
Patient selection and enrolment into phase III randomized clinical trials (RCTs) of adjuvant cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitor therapies depend on accurate risk definition. However, standard clinicopathologic criteria incompletely ca... read more 
oncology

Comparative Performance of agentic AI and Physicians in Taking Clinical History across Leading Large Language Models (LLMs)

medRxiv Jan 25, 2026
Comprehensive clinical history taking is essential for high-quality care. We hypothesized that large language models (LLMs), guided by a structured agentic framework, can efficiently obtain clinically meaningful patient histories. We developed an ite... read more 
health informatics
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