Results 211 to 220 of about 193,745 (310)

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

A cross-sectional study of associations between the ¹³C-sucrose breath test, the lactulose rhamnose assay, and growth in children at high risk of environmental enteropathy. [PDF]

Am J Clin Nutr
Shivakumar N, Huq S, Paredes-Olortegui M, Konyole SO, Devi S, Yazbeck R, Owino VO, Brouwer AF, Kosek MN, Kelly P, Morrison DJ, Lee GO.   +11 more
europepmc   +1 more source

Evaluation of gastric emptying in the solid phase by the breath test with 13C

, 2018
Paola Cristina [UNESP] Faccin
openalex   +1 more source

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

Advanced Intelligent Systems, EarlyView.
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma, Eugen Koch, Andreas Dietzel, Shrutidhara Sarma   +3 more
wiley   +1 more source

The Lactulose Breath Test Can Predict Refractory Gastroesophageal Reflux Disease by Measuring Bacterial Overgrowth in the Small Intestine. [PDF]

J Clin Gastroenterol
Xu J, Qu Q, Yang Y, Yang J, Fang T, Yin J, Mo Q, Wu Z, Zeng L, He H, Fu J, Zhou H, Huang W, Yang HJ.   +13 more
europepmc   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Validity of rapid urease test using swab of gastric mucus to mucosal forceps and 13 C-urease breath test: a multicenter prospective observational study. [PDF]

BMC Gastroenterol
Yoshikawa T, Yamauchi A, Kou T, Murao T, Kamada T, Suehiro M, Kawano K, Haruma K, Yazumi S.   +8 more
europepmc   +1 more source

Triolein Breath Test

Gastroenterology, 1979
Albert D. Newcomer, Alan F. Hofmann, Eugene P. DiMagno, Paul J. Thomas, Gerald L. Carlson   +4 more
openaire   +1 more source

Differentiation of functional gastrointestinal disorders from healthy volunteers by lactulose hydrogen breath test and test meal

, 2018
Valeria Schindler, Stéphanie Giezendanner, Simon Bütikofer, Fritz Ruprecht Murray, Daniel Runggaldier, Larissa Schnurre, Annina Zweig, Michael Fried, Daniel Pohl   +8 more
openalex   +1 more source

AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials

Advanced Intelligent Systems, EarlyView.
Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley   +1 more source