Artificial Intelligence Medical Compendium

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

Showing 63,221 to 63,230 of 230,760 articles

Time-series ECG Imputation Using a Pattern-Based Masking Framework

medRxiv Jan 16, 2026
The utilization of continuous ECG monitoring has become an integral part of modern hospital-based care. However, missing data presents significant challenges in deploying real-time ECG-based predictive systems. Research on the implementation of imput... read more 
health informatics

TomoSegNet: Augmented membrane segmentation for cryo-electron tomography by simulating the cellular context

bioRxiv Jan 16, 2026
Membrane segmentation is an essential task in the workflow for processing cryo-electron tomography data. Recently, machine learning algorithms have successfully been adopted to perform membrane segmentation. However, the performance of these approach... read more 
bioinformatics

GARD: Genomic Data based Drug Repurposing in Head and Neck Cancer with Large Language Model Validation

bioRxiv Jan 16, 2026
Background/ObjectivesHead and neck cancer (HNC) represents the seventh most common cancer diagnosis globally, yet current treatments, including surgery, radiation, and immunotherapy, have shown limited improvement in outcomes. Drug repurposing offers... read more 
bioinformatics

Leveraging Unified Sequence-Structure Representations for Enhanced Protein Stability Prediction

bioRxiv Jan 16, 2026
Protein thermal stability, quantified by the change in Gibbs free energy ({Delta}{Delta}G) upon mutation, is critical for drug design and enzyme engineering. Current multi-modal deep learning models, despite integrating sequence, often struggle with ... read more 
bioinformatics

TcrDesign: De novo design of epitope specific full-length T cell receptors

bioRxiv Jan 16, 2026
T cell receptors (TCRs) are essential for adaptive immune recognition. Recently computational tools have been developed to predict the interactions between TCR and epitope, and artificial intelligence models have been proposed to generate the complem... read more 
bioinformatics

PathDiffusion: modeling protein folding pathway using evolution-guided diffusion

bioRxiv Jan 16, 2026
Despite remarkable advances in protein structure prediction, a fundamental question remains unresolved: how do proteins fold from unfolded conformations into their native states? Here, we introduce PathDiffusion, a novel generative framework that sim... read more 
bioinformatics

High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

bioRxiv Jan 16, 2026
Computation in recurrent networks of neurons has been hypothesized to occur at the level of low-dimensional latent dynamics, both in artificial systems and in the brain. This hypothesis seems at odds with evidence from large-scale neuronal recordings... read more 
neuroscience

Transmission Dynamics of Eastern Equine Encephalitis Infection Rates: The Role of Avian Host Stage and Differential Mosquito Exposure

bioRxiv Jan 16, 2026
Eastern equine encephalitis virus (EEEV) is a deadly arboviral pathogen with 30% severe case fatality. EEEV exhibits pronounced 2-3 year cyclical outbreak patterns in the northeastern United States, linked to shifts in mosquito feeding preferences be... read more 
systems biology

Machine Learning-Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2- Early Breast Cancer Using Real-World and NATALEE Data.

Clinical cancer research : an official journal of the American Association for Cancer Research Jan 16, 2026
PURPOSE: Despite current standard-of-care endocrine therapy, distant recurrence remains a concern for patients with hormone receptor-positive (HR+)/HER2- early breast cancer (EBC). Understanding individual recurrence risk would aid in clinical decisi... read more 
Humans Machine Learning Prognosis Female Risk Factors Aged Adult Breast Neoplasms Middle Aged Treatment Outcome Neoplasm Recurrence, Local Receptors, Estrogen Purines Receptors, Progesterone Aminopyridines Erb-b2 Receptor Tyrosine Kinases

Multiomics Profiling of T-cell Leukemia and Lymphoma Enables Targeted Therapeutic Discovery.

Cancer research Jan 16, 2026
UNLABELLED: T-cell leukemias and lymphomas (TCL) form a heterogeneous group of rare and often aggressive malignancies. Because of the rarity and heterogeneity of TCL subtypes, clinical trials are challenging to conduct, making pharmacogenomic studies... read more 
Humans Biomarkers, Tumor Drug Discovery Gene Expression Profiling Cell Line, Tumor Multiomics Molecular Targeted Therapy Lymphoma, T-Cell Leukemia, T-Cell
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