Artificial Intelligence Medical Compendium

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

Showing 64,711 to 64,720 of 231,605 articles

A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation.

Nature communications Jan 14, 2026
The rapid growth of artificial intelligence and the Internet of Things calls for compact hardware platforms that integrate sensing, computing, and nonlinear processing within a unified architecture. However, most existing neuromorphic systems impleme... read more 

Comprehensive mapping of RNA modification dynamics and crosstalk via deep learning and nanopore direct RNA-sequencing.

Nature communications Jan 14, 2026
Despite the extensive studies of individual RNA modifications, the lack of methods to detect multiple modification types simultaneously has left the global epitranscriptomic landscape and its underlying crosstalk largely unexplored. Here, we present ... read more 

Quantum inspired wavelet and Fourier feature fusion for EEG based epilepsy and seizure detection.

Scientific reports Jan 14, 2026
The electroencephalography (EEG) signals are the cheapest approach to study the brain information, commonly used for epilepsy and seizure detection. This study presents a QFF-ML Net (Quantum Feature Fused Machine Learning Network). This novel approac... read more 

Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers.

NPJ digital medicine Jan 14, 2026
Positron emission tomography (PET)/computed tomography (CT) for myocardial perfusion imaging (MPI) provides multiple imaging biomarkers, often evaluated separately. We developed an artificial intelligence (AI) model integrating key clinical PET MPI p... read more 

Identification and validation of a refined CAF-Associated diagnostic signature in breast cancer.

Scientific reports Jan 14, 2026
Breast cancer remains a major global health challenge with high incidence and mortality rates among women. Recent studies have highlighted the critical role of the tumor microenvironment, particularly cancer-associated fibroblasts (CAFs), in tumor pr... read more 

Self-supervised learning on graphs predicts non-coding RNA and disease associations.

Scientific reports Jan 14, 2026
Non-coding RNAs (ncRNAs) play crucial roles in regulating the initiation and progression of various cancers. Accurate identification disease-related ncRNAs would provide a unique opportunity to design better therapeutic interventions. Graph convoluti... read more 

On machine learning based QSPR analysis of amphetamine derivatives using regression models.

Scientific reports Jan 14, 2026
In this study, we show the quantitative structure-property relationship (QSPR) for amphetamine derivatives based on neighborhood degree-based topological indices and NM-polynomials. By coupling such descriptors to both polynomial regression models an... read more 

Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations.

Nature biomedical engineering Jan 14, 2026
Candida auris, an increasingly prevalent fungal pathogen, requires both rapid identification and antifungal susceptibility testing to enable proper treatment. This study introduces digital SHERLOCK (dSHERLOCK), a platform that combines CRISPR/Cas nuc... read more 

IdentifiHR predicts homologous recombination deficiency in high-grade serous ovarian carcinoma using gene expression.

Communications medicine Jan 14, 2026
BACKGROUND: Approximately half of all high-grade serous ovarian carcinomas (HGSCs) have a therapeutically targetable defect in homologous recombination (HR) DNA repair. While there are genomic and transcriptomic methods, developed for other cancers, ... read more 

Leveraging machine learning for hemodynamic phenotyping in pediatric continuous renal replacement therapy-toward precision monitoring.

Pediatric research Jan 14, 2026
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