Artificial Intelligence Medical Compendium

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

Showing 43,011 to 43,020 of 223,853 articles

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning.

Open heart
BACKGROUND: Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study aimed to identify preprocedural factors to predi... read more 

Representation Biases: Variance Is Not Always a Good Proxy for Importance.

eNeuro
A central approach in neuroscience is to analyze neural representations as a means to understand a system's function, through the use of methods like principal component analysis, regression, and representational similarity analysis. These analyses o... read more 

Evaluating Large Language Models-Generated Health Education Materials for Discharged Patients with Diabetes: A Comparative Analysis.

Journal of diabetes science and technology
BACKGROUND: Diabetes is a chronic condition requiring long-term management, and continuous health education is vital for improving disease awareness and self-management. Large language models (LLMs), advanced artificial intelligence systems trained o... read more 

Resilience-by-design in engineering Bacillus cell factories.

Trends in biotechnology
Industrial Bacillus strains face overlapping stresses-heat, pH, oxidative, osmotic, and toxic metabolites-during large-scale fermentation. Traditional single-stress approaches are insufficient for robustness. We propose a 'resilience-by-design' parad... read more 

EEG based detection of schizophrenia using asymmetry of entropy and CNN-LSTM model.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual's real-life functioning. It is characterized by abnormal asymmetry in the neural activities of the brain reflecting functional and cognitive impairment. The i... read more 

Toward a cure for multiple myeloma within a decade.

Blood cancer journal
Multiple myeloma (MM), long viewed as incurable, is entering a transformative era marked by deeper remissions, prolonged survival, and the realistic prospect of cure. The greatest opportunity lies at diagnosis, before genomic heterogeneity and immune... read more 

Label-Free Raman Spectral Identification of NK and NKT Cells in Immune Heterogeneous Cell Populations.

Analytical chemistry
NK and NKT cells act as major effector subsets across multiple immune heterogeneous cell populations (HCPs), and their precise identification is essential for assessing product quality and predicting clinical efficacy. Here, we present a label-free i... read more 

Integrative spatial profiling pipeline for determining TME architectures in archival clinical specimens using CmTSA superplex technology.

Cell discovery
The tumor microenvironment (TME) comprises diverse cellular components that spatially interact to form distinct functional niches (FNs). Profiling these TME spatial features has proven to be a critical approach for correlating tumor progression and t... read more 

Behavioral screening defines the molecular Parkinsonism-related subgroups in Drosophila.

Nature communications
Parkinson's disease (PD) and related familial Parkinsonism are defined by motor dysfunction, but the specific upstream molecular causes of these clinical symptoms can vary widely. We hypothesize that these causes converge onto a limited number of cor... read more 

Synthetic data-driven deep learning for label-free autonomous atomic force microscopy.

Nature communications
Atomic force microscopy (AFM) is a widely used tool for nanoscale characterization across materials science, energy research, and biology. However, its adoption in high-throughput materials discovery and statistically driven studies remains limited b... read more