Artificial Intelligence Medical Compendium

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

Showing 37,331 to 37,340 of 223,469 articles

MAMGL: A memory-augmented meta-graph learning framework for adolescent major depression disorder diagnosis

bioRxiv Mar 30, 2026
Adolescent major depressive disorder (AMDD) is a prevalent and heterogeneous psychiatric condition that emerges during a critical period of brain development. Neuroimaging based biomarkers derived from resting state functional magnetic resonance imag... read more 
neuroscience

DualLoc: Full-parameter fine-tuning of cascaded dual transformers for protein subcellular localization prediction

bioRxiv Mar 30, 2026
Accurate protein subcellular localization is essential for biological function, and mislocalization is linked to numerous diseases. While current methods like DeepLoc 2.0 employ lightweight fine-tuning of protein language models (PLMs), their ability... read more 
bioinformatics

Pan-Pharmacological Drug-Target Interaction Prediction with 3D-Informed Protein Encoding at Scale

bioRxiv Mar 30, 2026
Accurate prediction of drug-target binding affinity across multiple pharmacological endpoints remains challenging, as most deep learning methodologies focus on a single metric and face a trade-off between incorporating structural information and comp... read more 
bioinformatics

IDBSpred: An intrinsically disordered binding site predictor using machine learning and protein language model

bioRxiv Mar 30, 2026
Intrinsically disordered proteins (IDPs) mediate many cellular functions through interactions with structured protein partners, but predicting the corresponding binding sites on the structured partner remains challenging. Here, we present IDBSpred, a... read more 
bioinformatics

The End of Aging Clocks: Training Foundation Models to Reason in Aging and Longevity

bioRxiv Mar 30, 2026
The aging clock paradigm has yielded dozens of specialist models that can estimate chronological age or mortality from virtually any biodata type. Yet each such model operates within a fixed modality, relies on a predetermined feature set, and produc... read more 
bioinformatics

Shape2Fate: a morphology-aware deep learning framework for tracking endocytic and exocytic carriers at nanoscale.

bioRxiv Mar 30, 2026
Plasma membrane homeostasis requires balanced exocytosis and endocytosis, yet their coordination at the single-event level in non-neuronal cells is unresolved. We present Shape2Fate, a morphology-aware deep-learning pipeline that detects, tracks, and... read more 
cell biology

Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering

bioRxiv Mar 30, 2026
Enzyme-directed evolution increasingly relies on computational tools to prioritize mutations, yet their practical value is difficult to assess because kinetic data are often aggregated across heterogeneous assay conditions, inflating apparent general... read more 
bioengineering

Genome-Wide Variations of End Motif in Cell-Free DNA Fragments Distinguish Immunotherapy Responders from Non-Responders in Head and Neck Cancer: A Multi-Institute Prospective Study

medRxiv Mar 30, 2026
Reliable, minimally invasive biomarkers for predicting immunotherapy response in head and neck squamous cell carcinoma (HNSCC) remain an unmet clinical need. Here, using patients from a prospective, multi-institutional phase II clinical trial (NCT026... read more 
genetic and genomic medicine

VaaS is a Multi-Layer Hallucination Reduction Pipeline for AI-Assisted Science: Production Validation and Prospective Benchmarking

medRxiv Mar 30, 2026
The deployment of large language models (LLMs) for science carries an intrinsic risk: hallucination of citations, fabricated drug approvals or clinical trials, and unsupported experimental outcomes. Here we describe the testing and deployment of a no... read more 
health informatics

Learning Patient-Specific Event Sequence Representations for Clinical Process Analysis

medRxiv Mar 30, 2026
Healthcare system performance evaluation is constrained by episodic performance indicators and process mining techniques that fail to accommodate the scale, heterogeneity, and temporal complexity of real-world clinical pathways. Electronic health rec... read more 
health informatics
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