Artificial Intelligence Medical Compendium

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

Showing 6,581 to 6,590 of 205,745 articles

Examining Selection Dynamics and Limitations in Multi-round Protein Selection of High Diversity Libraries.

Protein engineering, design & selection : PEDS
Proteins and peptides underpin essential biological functions and technological applications, from targeting disease-relevant interactions to providing broad enzymatic activities. However, engineering molecules with desired properties remains difficu... read more 

Reproducibility, validation, and failure modes across classical and AI-driven molecular docking.

Journal of computer-aided molecular design
Molecular docking is indispensable across computer‑aided discovery. However, its conclusions often hinge more on modeling choices than on software brand or nominal score. In this review, we argue that docking should be treated explicitly as condition... read more 

Dictionary Learning Methods for Brain Activity Mapping with MEG Data.

Brain topography
A central goal in many brain studies is the identification of those brain regions that are activated during an observation window that may correspond to a motor task, a stimulus, or simply a resting state. While functional MRI is currently the most c... read more 

Heterojunction Engineering of Electrodes and Membranes in Redox Flow Batteries.

Chemical record (New York, N.Y.)
Redox flow batteries (RFBs) have demonstrated considerable potential for application prospects in the domain of large-scale energy storage. This potential can be attributed to their notable advantages, which include the decoupling of power and capaci... read more 

Predicting Metastatic Potential from Histopathological Whole Slide Images of Primary Tumors in Head and Neck Squamous Cell Carcinoma Using Attention-Based Deep Learning and Signaling Pathway Alterations.

Head and neck pathology
BACKGROUND: Head and Neck Squamous Cell Carcinoma (HNSCC) ranks as the 6th most prevalent cancer worldwide, imposing a significant burden on global healthcare systems. The progression to metastasis poses a substantial challenge in the clinical manage... read more 

Exploring the potential targets and mechanisms of artemisinin in the treatment of diabetic kidney disease using network pharmacology and molecular docking.

Functional & integrative genomics
Diabetic kidney disease (DKD) is a secondary glomerular disease caused by diabetes, and its incidence is increasing annually. Artemisinin is an organic compound with multiple pharmacological effects. This study aims to investigate the potential thera... read more 

High Polarity Doping of CoFe Layered Hydroxides: Bifunctional and Corrosion-Resistant Anion Exchange Membrane Seawater Electrolyzers.

Nano-micro letters
Green hydrogen production through seawater electrolysis is a promising strategy, although challenges such as sluggish oxygen evolution reaction (OER) kinetics and chlorine (Cl-) corrosion hinder its practical applicability. A novel fluorine (F)-doped... read more 

Artificial Intelligence, Optimization, and Modeling Techniques in Water Resources Management: Challenges and Future Directions.

Water environment research : a research publication of the Water Environment Federation
The novelty of this work lies in its comprehensive investigation of six major elements of water resources management (watershed models, surrogate models, optimization techniques, Artificial Intelligence (AI), Decision Support Systems (DSS), and monit... read more 

Fully Automated Quantification of Functional Small Airway Disease at Inspiratory and Expiratory Chest CT Using Deep Learning.

Radiology. Cardiothoracic imaging
Purpose To evaluate the accuracy and time efficiency of a deep learning (DL)-based tool for automated quantification of functional small airway disease (fSAD) at chest CT compared with a conventional semimanual method. Materials and Methods This retr... read more