Artificial Intelligence Medical Compendium

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

Showing 1,781 to 1,790 of 6,954 articles

A demand-centered scheduling framework for shared supercomputing resources: modeling, metrics, and case insights.

Scientific reports
The exponential growth of artificial intelligence and data-intensive applications has led to a significant surge in demand for supercomputing resources. However, limited infrastructure capacity and rising construction costs have made traditional supp... read more 

Design, synthesis, and evaluation of triazolo[1,5-a]pyridines as novel and potent α‑glucosidase inhibitors.

Scientific reports
α-Glucosidase is a key enzyme responsible for controlling the blood glucose, making a pivotal target in the treatment of type 2 diabetes mellitus. Present work introducestriazolo[1,5-a]pyridine as a novel, potent scaffold for α-glucosidase inhibition... read more 

Transcriptome combined with Mendelian randomization to identify key genes related to polyamine metabolism in childhood obesity and elucidate their molecular regulatory mechanisms.

Scientific reports
Currently, research has found a close correlation between childhood obesity (CO) and elevated levels of polyamines in the bloodstream. Thus, the identification of key genes associated with polyamines metabolism in CO could offer fresh insights for cl... read more 

Optimizing credit card fraud detection with random forests and SMOTE.

Scientific reports
In the financial world, Credit card fraud is a budding apprehension in the banking sector, necessitating the development of efficient detection methods to minimize financial losses. The usage of credit cards is experiencing a steady increase, thereby... read more 

Digital forensics and incident response management model for IoT based agriculture.

Scientific reports
The Internet of Things (IoT) has been revolutionizing the agricultural industry by providing farmers with unprecedented opportunities to monitor and control their crops, livestock, and farm equipment in real-time, which is named as IoT based Agricult... read more 

Predicting the insulating paper state of the power transformer based on XGBoost/LightGBM models.

Scientific reports
Power transformer plays a crucial role in the power networks. Most of the transformer malfunctions was due to failure in the insulating systems. The utilities keen on the contentious operation of the power network, so early detection of the transform... read more 

Design of machine learning-based controllers for speed control of PMSM drive.

Scientific reports
This study presents machine learning (ML)-based controllers for a surface permanent magnet synchronous motor (PMSM) drive system. The ML-based regression techniques like linear regression (LR), support vector machine regression (SVM), feedforward neu... read more 

Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways.

Scientific reports
Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. Drug combinations have shown promising results in improving therapeutic outcomes, and many machine lea... read more 

Apnea detection using wrist actigraphy in patients with heterogeneous sleep disorders.

Scientific reports
Obstructive sleep apnea (OSA) and related hypoxia are well-established cardiovascular and neurocognitive risk factors. Current multi-sensor diagnostic approaches are intrusive and prone to misdiagnosis when simplified. This study introduces an enhanc... read more 

Predicting the availability of power line communication nodes using semi-supervised learning algorithms.

Scientific reports
Power Line Communication (PLC) facilitates the usage of power cables to transmit data. The issue is that sending data to unavailable nodes is time-consuming. Machine Learning has solved this by predicting a node having optimum readings. The more the ... read more