Artificial Intelligence Medical Compendium

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

Showing 16,881 to 16,890 of 213,633 articles

Cardiac activity monitoring for the heart rate classification with enhanced BiLSTM model.

Scientific reports
Cardiac activity monitoring is important for assessing cardiovascular status and supporting computational analysis of heart-rate pattern variations from wearable PPG signals. The development of wearable devices and public datasets has made continuous... read more 

Identification of GCNT3 as a glycometabolism-associated biomarker in endometrial cancer.

Scientific reports
Endometrial carcinoma (EC) incidence is increasing, with diabetes mellitus (DM) elevating EC risk. This study investigates the glycometabolism-associated gene GCNT3 in EC. We systematically integrated pancreatic tissue DM datasets (GSE25724, GSE76896... read more 

HybridTrust: on-device federated learning with crypto-agile security for legacy and quantum-safe medical devices.

Scientific reports
The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is expected to be a gradual one. Here, existing ECC-based devices alongside newly developed quantum-resistant devices will be operating within the same hea... read more 

Bufalin targets E2F2 to transcriptionally inhibit LINC01410 and suppress Wnt/β-catenin signaling in esophageal squamous cell carcinoma.

NPJ precision oncology
Bufalin, a main active monomer component extracted from the Traditional Chinese Medicine toad venom, exhibits potent anti-tumour activity across diverse malignancies. However, its specific molecular targets in Oesophageal squamous cell carcinoma (ESC... read more 

State estimation and dynamic compensation cooperative sliding mode control for space flexible manipulators.

Scientific reports
In response to the issue of total interference suppression in space flexible manipulator systems, a state estimation and dynamic compensation cooperative sliding mode control strategy is proposed, based on a neural network-based disturbance observer ... read more 

A deep learning model to dynamically predict cancer-associated thromboembolism in large-scale healthcare systems.

NPJ digital medicine
Venous thromboembolism (VTE) is a leading cause of preventable death among patients undergoing systemic treatment for cancer. Studies suggest that treatment strategies such as direct oral anticoagulant administration can significantly reduce the like... read more 

An explainable AI framework integrating machine and deep learning models for multi-species DNA functional group classification.

Scientific reports
DNA functional group classification across species plays a crucial role in understanding genetic diversity, evolutionary relationships and biological function. The increasing availability of genomic data has led to the use of machine learning and dee... read more 

Cytokines and immunologic checkpoint molecules in predicting success of allergen immunotherapy.

Scientific reports
There are large variations in how individual patients respond to allergen immunotherapy (AIT) against grass and/or birch allergy. There are currently no reliable biomarkers to predict which patients are likely to benefit from the treatment. The purpo... read more 

N2G calibrator: a cross-subject adversarial learning framework for neural signal-driven gait tracking in Parkinson's disease.

Communications engineering
Adaptive deep brain stimulation (aDBS) has enabled machine learning models to track motor states from neural signals with improved accuracy, aiming to provide electrical stimulation accordingly. Such data-driven techniques necessitate extensive user-... read more