Results 71 to 80 of about 94,964 (299)
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh+11 more
wiley +1 more source
A deployable, chip‐integrated approach to the detection of heart attack biomarkers is demonstrated using silicon photonic microring resonators combined with microfluidics. By applying the Pound–Drever–Hall frequency locking technique, sensor signals are measured with improved signal‐to‐noise ratio, applying this to real‐time, selective readouts.
Evan Diamandikos+9 more
wiley +1 more source
Artificial Intelligence Models Reveal Sex-Specific Gene Expression in Aortic Valve Calcification
Summary: Male and female aortic stenosis patients have distinct valvular phenotypes, increasing the complexities in the evaluation of valvular pathophysiology.
Philip Sarajlic, MD+3 more
doaj
Compact Multichannel Plasmonic Device for Rapid and Versatile Inflammatory Biomarker Analysis
A multichannel plasmonic biosensor has been developed for the simultaneous detection of up to four inflammatory biomarkers relevant to sepsis diagnostics. Its performance has been optimized, and analytical validation has been conducted for the detection in diluted serum, highlighting its potential for clinical applications.
Juliana Fátima Giarola+3 more
wiley +1 more source
Background The aortic valve of the heart experiences constant mechanical stress under physiological conditions. Maladaptive valve injury responses contribute to the development of valvular heart disease. Here, we test the hypothesis that MG53 (mitsugumin
T. M. Ayodele Adesanya+12 more
doaj +1 more source
Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath
The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak+5 more
wiley +1 more source
Objective: To determine the annual incidence of prosthetic valve endocarditis (PVE) and to evaluate its current classification based on the epidemiological distribution of agents identified and their sensitivity profiles.
Rinaldo Focaccia Siciliano+9 more
doaj +1 more source
Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi+7 more
wiley +1 more source
The quantum dot integrated real‐time ELISA or QIRT‐ELISA system integrates a bead‐based quantum dot‐mediated immunoassay (BQI) with a modular microfluidic system to continuously monitor insulin and glucagon in whole blood samples and in a multiplexed setting.
Hesam Abouali+7 more
wiley +1 more source
A highly efficient extracorporeal device for treating bacteremia is developed by integrating microfluidic bacterial margination and engineered cell‐depleted thrombi strategically constructed in the device. The rodent models, severely infected with antibiotic‐resistant bacteria, recover from bacteremia after two subsequent extracorporeal blood ...
Bong Hwan Jang+4 more
wiley +1 more source