Artificial Intelligence Medical Compendium

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

Showing 58,381 to 58,390 of 227,634 articles

Organic Transistor-Based Neuromorphic Electronics and Their Recent Applications.

Small methods
Neuromorphic technologies offer a promising pathway to address the escalating energy demands of artificial intelligence. At the system level, neuromorphic computing seeks to overcome the von Neumann bottleneck by integrating memory and processing, wh... read more 

A Synovium-on-Chip Platform to Study Multicellular Interactions in Arthritis.

Advanced healthcare materials
Arthritis progression is modulated by the synovium, yet its cellular crosstalk remains poorly understood, partly due to the limited availability of human-relevant preclinical models. Therefore, we developed a compartmentalized synovium-on-chip (SoC) ... read more 

A Monolithic Ferroelectric-Ionic Duality for Stochastic-Neuromorphic Core Integration.

Advanced materials (Deerfield Beach, Fla.)
Learning under uncertainty has become increasingly critical in data-intensive artificial intelligence applications, requiring computing systems that unify deterministic and probabilistic functions. Hardware that combines stable memory with tunable st... read more 

Generative Design for Alloys: Harnessing Generative Models for Faster Discovery.

Advanced materials (Deerfield Beach, Fla.)
Generative models are redefining alloy design by moving beyond property prediction toward the autonomous creation of new compositions, processing parameters, microstructures, and architectures. Unlike conventional machine learning methods that map ma... read more 

Engineering Electronic Radial Effects for Fast Li+ Transport in Solid-State Electrolytes.

Advanced materials (Deerfield Beach, Fla.)
Achieving high Li+ conductivity, near-unity transference numbers, and stable interfaces in solid-state electrolytes remains a major challenge for lithium-metal batteries. Here we introduce a radial-effect design principle: relativistic expansion and ... read more 

Optimisation and Technological Advances in Cardiovascular Magnetic Resonance to improve Access and Screening.

The British journal of radiology
Cardiovascular magnetic resonance (CMR) can comprehensively assess cardiac function and structure, with a unique capability for tissue characterisation. However, its access remains limited due to general availability. Additionally, CMR has lengthy pr... read more 

Multi-scale drivers of spontaneous plant diversity in urban residential green spaces across dispersal modes: Implications for ecological planning.

Journal of environmental management
Residential green spaces (RGSs) are ubiquitous elements of the urban fabric and can function as low-maintenance, nature-based solutions that reconnect fragmented habitats and deliver ecosystem services. Yet the mechanisms by which multi-scale environ... read more 

Utilization of machine learning algorithms for the identification of the RLN associated prognostic model and feature biomarkers of RLN-related subtypes in breast cancer.

Translational oncology
BACKGROUND: Breast cancer (BC) is the most common malignancy afflicting women worldwide, yet the role of relaxin-related genes (RLN) in BC progression remains unclear. This study aims to elucidate the relationship between RLN and BC outcomes through ... read more 

Demand-driven dynamics and evolutionary patterns of graduate employment in China based on recruitment big data.

Acta psychologica
Research on graduate employment had traditionally emphasized talent cultivation while insufficiently addressing labor market dynamics, which generated structural challenges such as persistent mismatches between labor supply and demand and delayed pol... read more