Artificial Intelligence Medical Compendium

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

Showing 21,871 to 21,880 of 216,627 articles

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 

Astaxanthin biomanufacturing under hierarchical constraints: Integrating synthetic biology and artificial intelligence for scalable production.

Biotechnology advances
Astaxanthin is a high-value ketocarotenoid of growing industrial importance; however, its scalable biomanufacturing is constrained by inherent biological complexity. Production performance is governed by hierarchical constraints, including molecular ... read more 

A structured oral formulation database for machine learning: Uncovering data-informed design strategies to facilitate effective formulation development.

International journal of pharmaceutics
Oral dosage form development still relies heavily on empirical trial-and-error, while the high prevalence of poorly soluble drug candidates increases the need for structured data support. To address this limitation, we constructed the Computational P... read more 

Mapping mosquito flight dynamics and directional responses: A scalable deep learning model for behavioural research.

Acta tropica
Mosquitoes are important vectors of pathogens that affect millions of people worldwide. Understanding their flight patterns and behaviours is crucial for developing novel control and surveillance tools. Mosquito flight track analysis using traditiona... read more