Artificial Intelligence Medical Compendium

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

Showing 39,261 to 39,270 of 223,737 articles

Peptide-protein docking: from physics-based models to generative intelligence.

Chemical communications (Cambridge, England)
Peptide-protein interactions (PepPIs) play a pivotal role in cellular signaling and regulation, representing a significant category of therapeutic agents. However, determining peptide-protein complex structures by experiment is costly and often chall... read more 

Identifying adaptive footprints in the presence of demographic uncertainty.

Genome biology and evolution
Identifying genomic regions shaped by natural selection is a central goal in evolutionary genomics. Existing machine learning methods for this task are typically trained on labeled data simulated according to specific evolutionary scenarios. While ef... read more 

Evolving Beyond Nature: AI-Driven Rapid Advancements of Bio-Inspired Electronic Skin.

ACS applied materials & interfaces
Electronic skin (e-skin) is a rapidly developing technology at the intersection of humans and machines with tremendous applications in robotics, healthcare, sports performance, and other fields of wearable electronics. With the recent popularization ... read more 

Weld defect detection based on improved YOLOv8n.

Journal of X-ray science and technology
BackgroundIndustrial weld defect detection is challenged by the minimal grayscale contrast between defects and the background, as well as by blurred defect edges, which together hinder the performance of detection algorithms. Moreover, practical indu... read more 

Local-Contextual Feature Fusion Network Based on Nonlinear Spiking Neural Model for Semantic Segmentation of Remote Sensing Images.

International journal of neural systems
Semantic segmentation of remote sensing (RS) image is crucial to tasks such as geographic research, land monitoring and environmental protection. In recent years, deep learning models built with convolutional neural networks (CNNs) and Transformer st... read more 

Identifying Undiagnosed COPD Using Machine Learning-Based Classification.

Respiratory care
BACKGROUND: COPD is a leading cause of morbidity and mortality worldwide. However, 80% of individuals with COPD are undiagnosed, leading to accelerated disease progression and increased healthcare costs. Different screening and case-finding tools hav... read more 

Contemporary clinical incident analysis methods used within acute care settings: a scoping review.

JBI evidence synthesis
OBJECTIVE: The objective of this review was to explore and synthesize the research on the use of contemporary incident analysis methods in acute care settings, and to report on characteristics of these methods and how they are being used to minimize,... read more 

High-Precision Solvation Free Energy Calculation via Multi-Input Linear Correction in 3D-RISM Theory.

Journal of chemical theory and computation
This study introduces the multi-input linear correction (MILC) method to enhance the accuracy of solvation free energy (SFE) calculations with the three-dimensional reference interaction site model (3D-RISM) theory. While the 3D-RISM theory offers si... read more 

Mixture-of-Experts Machine Learning Framework for Predictive Design of Biomass-Derived Hydrochar to Decarbonize Industrial Heat.

Environmental science & technology
Decarbonizing hard-to-abate industrial sectors that require high-temperature process heat, notably steel and cement, demands renewable solid fuels with rigorously predictable properties. Hydrothermal carbonization (HTC) of biomass residues offers a p... read more 

Nanogels for the targeted delivery of antibiotic and antimicrobial drugs.

Therapeutic delivery
Nanoparticle-based drug delivery systems represent a promising platform for advancing biomedical therapies. Among them, nanogels - three‑dimensional, crosslinked polymer networks - offer tunable structures that enable targeted and controlled drug del... read more