Artificial Intelligence Medical Compendium

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

Showing 46,191 to 46,200 of 224,055 articles

Characterizing soft-bottom epibenthic megainvertebrate communities of the Mediterranean continental shelf: a biogeographic approach.

Marine environmental research
Partitioning of the Mediterranean basin has so far mainly focused on surface waters, relying on biogeochemical and hydrological data while the Mediterranean seafloor has received much less attention. Bioregions are essential units for conservation pl... read more 

Puerarin mitigates tumor necrosis factor-nuclear factor-κB axis-driven macrophage inflammation and atherogenesis: Integrative network pharmacology and experimental validation.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Atherosclerosis (AS) is a chronic inflammatory disease that constitutes the primary pathological basis of cardiovascular disorders. Although the natural isoflavone C-glycoside puerarin (PU) has demonstrated promising anti-atherosclerotic ... read more 

Strategies for Exoskeletal Upper Limb Robot with Bio-Sensors in Stroke Rehabilitation: A Scoping Review.

NeuroRehabilitation
Background: Upper extremity motor impairment is common after stroke. The Hybrid Assistive Limb single-joint type (HAL-SJ), an exoskeletal robot with biosensors, assists voluntary movement by detecting biopotential signals. While there are reports of ... read more 

Cytokine expression mediated immunogenic response of therapeutic IgG aggregates obtained by forced degradative stress factors and the role of a deep neural network in its prediction.

Biochemical and biophysical research communications
PURPOSE: Biotherapeutic products can aggregate during different stages of the product life cycle. Activation of immune cells due to aggregates of mAb is an important issue. Cytokines are significant biomarkers and potent mediators of several biologic... read more 

Beyond text generation: large language models as autonomous agents for orchestrating synthetic biology cycles.

Bioresource technology
Synthetic biology, which aims to design and construct novel biological systems, faces inherent challenges in navigating high-dimensional design spaces and optimizing complex experimental cycles. Large language models (LLMs) are emerging as semantic e... read more 

Enhancing landslide susceptibility mapping analysis through neighborhood feature aggregation and interpretable machine learning: Implications for disaster prevention in valley-type urban planning.

Journal of environmental management
Geological disasters, as major natural hazards threatening regional sustainable development, have made risk assessment and planning governance core issues in global spatial safety management. This study, set against the backdrop of Shiquan County, a ... read more 

Stage-specific climate risks to winter wheat in China: actionable pathways to reconcile yield loss and protein gains.

Journal of environmental management
As the global population continues to rise, ensuring nutrition security has become an increasingly critical concern. Climate change poses significant risks to crop yields and quality, complicating efforts to meet nutritional requirements. Notably, th... read more 

Prediction of the joint toxicity of microplastics and organic pollutants on algae based on machine learning.

Marine pollution bulletin
Complex joint toxicity driven by microplastic (MP)-organic pollutant mixtures in aquatic ecosystems remains poorly captured by conventional models. Herein, a dataset covering 10 types of MPs and 6 organic pollutants was compiled from literature to in... read more