Artificial Intelligence Medical Compendium

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

Showing 51 to 60 of 199,772 articles

Computational modelling of cell identity.

The Biochemical journal Jun 3, 2026
Deciphering cell identity remains a central challenge in biology, as experimental profiling can only capture a fraction of the molecular diversity across human cell states. Computational modelling fills this gap by offering scalable predictions beyon... read more 

Deep learning insights into β-lactamase dynamics and resistance evolution.

The Biochemical journal Jun 3, 2026
The rapid global expansion of β-lactamase-mediated antimicrobial resistance demands mechanistic approaches capable of resolving the dynamics of enzyme adaptation. Although β-lactamase evolution often involves subtle rearrangements rather than large s... read more 

Deep learning enables automated detection of dinosaur footprints with high accuracy.

Scientific reports Jun 4, 2026
Dinosaur footprints provide crucial paleoecological information about locomotion, behavior, and tracksite distributions. Traditional tracksite surveys rely on time-consuming manual identification by expert researchers, with results influenced by pres... read more 

A passive islanding detection method using deep neural bidirectional LSTM-CNN.

Scientific reports Jun 4, 2026
Microgrids based on local generation principle has advantages as reducing power losses and improving voltage profile. One of the biggest operational concerns in presence of a microgrid connected to a power system is unintentional islanding. Unintenti... read more 

An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting.

Scientific reports Jun 4, 2026
Accurate defect prediction is essential for better software quality to avoid cost overruns, schedule delays, and reduced system reliability due to software defects. This study presents a Transformer Assisted Boosting Framework (TABF) that combines XG... read more 

Assessing and quantifying the saturation effect of forest aboveground biomass mapping using Landsat 8, Sentinel 1/2.

Carbon balance and management Jun 4, 2026
The application of remote sensing to forest aboveground biomass (AGB) mapping has received increasing attention, and substantial progress has been achieved. Nevertheless, saturation of remotely sensed signals remains a major challenge, often leading ... read more 

Multiclass machine learning classification of aflatoxin B1 and ochratoxin A in crude palm oil using SERS with statistically validated model benchmarking.

Mikrochimica acta Jun 4, 2026
Mycotoxin contamination in crude palm oil poses significant food safety challenges, yet conventional detection methods remain time-consuming and resource-intensive. This study presents a rapid analytical framework for the simultaneous detection of af... read more 

Physics-informed deep learning enables reliable and scalable organoid quantification for drug screening via OCT.

NPJ digital medicine Jun 4, 2026
Patient-derived organoids (PDOs) hold transformative potential for personalized medicine by recapitulating patient-specific drug responses. While Optical Coherence Tomography (OCT) is ideal for monitoring these responses, its translation into high-th... read more 

Artificial intelligence in forensic science: a systematic review. Part I: personal identification.

International journal of legal medicine Jun 4, 2026
Artificial intelligence (AI) has emerged as a promising tool in forensic sciences, offering new opportunities for personal identification through automated analysis of biological and imaging data. AI-based approaches have been increasingly applied to... read more 

Ultrahigh-Q integrated flame-hydrolysis-deposited germano-silicate resonators on silicon.

Light, science & applications Jun 4, 2026
Optical fibres, owing to their ultra-low transmission loss, underpin global telecommunications. However, this remarkable low-loss performance has not been extended to integrated photonic devices, which are increasingly critical for data-intensive com... read more 
Popular Topics
Recent Journals