Artificial Intelligence Medical Compendium

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

Showing 21,561 to 21,570 of 216,348 articles

Ray-Aware Pointer Memory with Adaptive Updates for Streaming 3D Reconstruction

arXiv
Dense 3D reconstruction from continuous image streams requires both accurate geometric aggregation and stable long-term memory management. Recent feed-forward reconstruction frameworks integrate observations through persistent memory representations,... read more 

RVPO: Risk-Sensitive Alignment via Variance Regularization

arXiv
Current critic-less RLHF methods aggregate multi-objective rewards via an arithmetic mean, leaving them vulnerable to constraint neglect: high-magnitude success in one objective can numerically offset critical failures in others (e.g., safety or form... read more 

Plasma proteomic profiles reveal proteins and characteristic patterns associated with hypertension: A prospective cohort study.

Journal of hypertension
BACKGROUND: Longitudinal proteomic studies on hypertension remain scarce. We evaluated the epidemiological associations of circulating proteins with hypertension on the basis of the UK Biobank (UKB) and public GWAS-summary data in this study. METHODS... read more 

IHM-DDI: Integrating High-order Interaction Topology and Morgan Fingerprint Features for Drug-Drug Interaction Prediction.

Analytical biochemistry
Drug-drug Interaction (DDI) prediction is crucial in pharmacology and clinical applications. Conventional methods remain constrained by single-view paradigms, limiting multi-source data fusion and cross-view synergistic learning critical for comprehe... read more 

Benign-by-design chemistry: Reinventing ligand-based drug design at the edge of AI.

Drug discovery today
Ligand-based drug design (LBDD) has long driven therapeutic innovation; however, its traditional potency-centered paradigm often oversimplifies biological complexity. Advances in artificial intelligence (AI) now enable multiobjective strategies that ... read more 

Disproportionately Elevated Sulcal Index (DESI): An automatically driven index representing disproportionate subarachnoid space enlargement in brain MRI scans.

Brain research bulletin
INTRODUCTION: Idiopathic normal pressure hydrocephalus (iNPH) is frequently underdiagnosed due to non-specific symptoms and the risks of invasive testing. While disproportionately enlarged subarachnoid space hydrocephalus (DESH) is a hallmark imaging... read more 

Emerging Therapeutic Paradigms in Tuberculosis: Nanocarriers, Host-Directed Strategies, and Translational Pharmacology.

Microbial pathogenesis
TB remains a significant global health burden due to protracted therapeutic courses, poor patient compliance, and toxicities associated with drug treatment, as well as concerns arising from increasingly prevalent multidrug-resistant and extensively d... read more 

Thrombosis at the crossroads of inflammation, coagulation, and vascular biology: Recent advances and emerging therapeutic strategies.

Clinica chimica acta; international journal of clinical chemistry
Thrombosis is a multifaceted pathological process involving intravascular clot formation that drives a range of cardiovascular and cerebrovascular diseases, including myocardial infarction, ischemic stroke, venous thromboembolism, and cancer-associat... read more 

Quantum-Enabled Approaches to Precision Nutrition: Linking Molecular Interactions with Metabolic Prediction.

The Journal of nutrition
Precision nutrition aims to tailor dietary guidance to individual biology, yet current methods struggle to integrate complex molecular and multi-omic data into clinical care. Emerging quantum-driven technologies encompassing quantum computing, quantu... read more