Results 161 to 170 of about 213,632 (306)

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

Non‐RASopathy Genetic Syndromes Identified as the Molecular Cause of Disease in Patients Previously Diagnosed With Noonan Syndrome

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Noonan Syndrome (NS) is a clinically and genetically heterogeneous condition characterized by typical facial dysmorphisms, short stature, congenital heart defects, and developmental delays. While variants in genes such as PTPN11, SOS1, and RAF1 account for most genetically confirmed cases, diagnosis is challenging due to phenotypic overlap ...
Gabriela Jeesoo Kim, Alexsandra Christianne Malaquias, Debora Romeo Bertola, Raissa Carneiro Rezende, Laurana De Polli Cellin, Lucas Vieira Lacerda Pires, Ana Maria Santillan‐Vasconez, Antônio Marcondes Lerario, Renata da Cunha Scalco, Alexander Augusto de Lima Jorge   +9 more
wiley   +1 more source

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali, Thomas Mundy, Majid Hosseini, Morteza Bodaghi, Akio Fujiwara, Sejal Shyam Bhatia, Kayla Baker, Elena Bartolone, Dhara Patel, Henry Chu, Raju Gottumukkala, Jonathan Bidwell, Edward D. McCoul   +12 more
wiley   +1 more source

Electronic nose for detecting abnormal glucose metabolism in heart transplant recipients. [PDF]

Cardiovasc Diabetol
Wijbenga N, Muntinga AJ, Goedendorp-Sluimer MM, van Dijk BCJ, Roest S, Brugts JJ, Caliskan K, Constantinescu AA, Zandbergen AAM, Bos D, Hellemons ME, Manintveld OC.   +11 more
europepmc   +1 more source

Characterization and Discrimination of Chinese Marinated Pork Hocks by Volatile Compound Profiling Using Solid Phase Microextraction Gas Chromatography-Mass Spectrometry/Olfactometry, Electronic Nose and Chemometrics [PDF]

, 2019
Dong Min Han, Si Mi, Chunhui Zhang, Juan Li, Huanlu Song, Marie‐Laure Fauconnier, Eva Tyteca   +6 more
openalex   +1 more source

Impedance‐Controlled Multipoint Radiofrequency Ablation for Chronic Rhinitis: A Randomized Controlled Trial

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background The purpose of this randomized controlled trial (RCT) was to demonstrate that posterior nasal nerve ablation treatment with the NEUROMARK System is superior to a sham control procedure in patients with chronic rhinitis. Methods In this prospective, multicenter, single‐blinded, superiority RCT, 132 participants were randomized 2:1 to
Masayoshi Takashima, Randall A. Ow, Richard D. Thrasher, Ellen M. O'Malley, William R. Blythe, Omar G. Ahmed   +5 more
wiley   +1 more source

Characterization of the different volatile organic compounds in human and ruminant milk using electronic nose analysis and headspace gas chromatography-mass spectrometry. [PDF]

Food Chem X
Zhu Z, Li D, Ahmad N, Chu T, Niu C, Zhang L, Song Y.   +6 more
europepmc   +1 more source

Adaptive Machine Learning for Electronic Nose-Based Forensic VOC Classification. [PDF]

Adv Sci (Weinh)
Shtepliuk I, Montelius K, Eriksson J, Puglisi D.   +3 more
europepmc   +1 more source

Development of Antifreezing High‐Efficiency Dust Suppressant for Railway Coal Transportation

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In the process of railway coal transportation, a large amount of coal dust is dispersed, causing serious economic loss and environmental pollution. In order to improve the low‐temperature dust suppression performance, the present study has developed an antifreeze‐type, high‐efficiency railway coal transportation dust suppressant (hereinafter ...
Yuxing Huo, Fan Gao, Liuhang Hao, Na Xu, Xin Li, Shujun Yan, Penglong Li, Hong Xu   +7 more
wiley   +1 more source

Detection Performance of Colorectal Cancer Through Exhaled Breath by Electronic Nose: A Case-Control Study. [PDF]

Clin Transl Gastroenterol
Wang Q, Tan S, Zheng R, Li Z, Chen Y, Huang X, Fang Y.   +6 more
europepmc   +1 more source