Results 131 to 140 of about 158,022 (252)

Automated B‐cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel‐based classification model

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time‐consuming and operator‐dependent, especially when PCs are scarce. Artificial intelligence approaches such as unsupervised clustering (e.g., FlowSOM) map high‐dimensional data that still require expert interpretation.
Ethan James Gantana, Ernest Musekwa, Erica‐Mari Nell, Zivanai Cuthbert Chapanduka   +3 more
wiley   +1 more source

Exploring wave propagation behaviors in rock: A grain‐based perspective on mineral structures

Deep Underground Science and Engineering, EarlyView.
This study investigates wave propagation in rock at the grain scale using a grain‐based model, revealing that mineral elastic modulus significantly influences wave attenuation while grain size and distribution have limited effects. A novel peak particle velocity attenuation prediction model is proposed and validated for grain‐scale wave propagation ...
Zhiyi Liao, Jiachen Xu, Kai Zhang, Changtai Zhou   +3 more
wiley   +1 more source

Validation of Parent‐Report Questionnaires for Large‐Scale Online Screening of Avoidant/Restrictive Food Intake Disorder in Children and Adolescents

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Studies assessing the validity of screening measures for avoidant/restrictive food intake disorder (ARFID) remain scarce. We evaluated the diagnostic performance and validity of an online, parent‐reported screening approach for ARFID in a population‐based sample of children.
Diana Friskson, Felicia Dahlbäck, Laila L. L. Myrberg, Liv Hog, Nadia Micali, Cynthia M. Bulik, Lisa Dinkler   +6 more
wiley   +1 more source

Artificial Intelligence in Optical Coherence Tomography‐Based Ophthalmic Imaging: From Automated Diagnosis to Personalized Disease Monitoring

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly applied to optical coherence tomography (OCT) in ophthalmology, but evidence for automated diagnosis is stronger than evidence for longitudinal monitoring. This narrative review evaluates OCT‐based AI with emphasis on disease monitoring and progression, particularly in retinal disease and glaucoma ...
Stjepan Škudar
wiley   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

ESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori, Shingo Fukuma, Kyohei Yamaji, Atsushi Mizuno, Naoki Kondo, Kosuke Inoue   +5 more
wiley   +1 more source

AASLD practice guidance on drug, herbal, and dietary supplement–induced liver injury

, 2022
Hepatology, EarlyView.
Robert J. Fontana, Iris Liou, Adrian Reuben, Ayako Suzuki, M. Isabel Fiel, William Lee, Victor Navarro   +6 more
wiley   +1 more source

Left ventricular function improvement during angiotensin receptor–neprilysin inhibitor treatment in a cohort of HFrEF/HFmrEF patients

ESC Heart Failure, Volume 12, Issue 2, Page 1151-1165, April 2025.
Prediction of LVEF improvement in patients with HFrEF and HFmrEF following treatment with Sacubitril/Valsartan. Workflow of this study investigating the functional capacity improvement in response to Sacubitrail/Valsartsan in a real‐world scenario of heart failure treatment.
Florian Appenzeller, Tobias Harm, Manuel Sigle, Parwez Aidery, Klaus‐Peter Kreisselmeier, Livia Baas, Andreas Goldschmied, Meinrad Paul Gawaz, Karin Anne Lydia Müller   +8 more
wiley   +1 more source

Identifying drug‐resistant epilepsy using Swedish National Patient Registry data

Epileptic Disorders, EarlyView.
Abstract Background Approximately 30% of individuals with epilepsy are drug‐resistant, suffering low quality of life and should be evaluated for other treatment modalities. Drug‐resistant epilepsy has no specific diagnostic code, making identification in national healthcare registers challenging and limiting epidemiological research based on register ...
Matilda Modigh, Elina Tayebi, Ronny Wickström, Cecilia Bartholdson, Arvind Kumar, Heléne Sundelin   +5 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Detecting high‐frequency oscillations in real time during epilepsy surgery with neuromorphic hardware validated to predict postoperative seizure outcome

Epilepsia, EarlyView.
Abstract Objective High‐frequency oscillations (HFOs; 250–500 Hz) in electrocorticography (ECoG) are promising biomarkers for delineating the epileptogenic zone during epilepsy surgery. Accurate, intraoperative real‐time detection of HFOs may guide surgical resection to improve seizure outcome.
Jeroen Teurlings, Filippo Costa, Maeike Zijlmans, Maryse A. van ‘t Klooster, Giacomo Indiveri, Niklaus Krayenbühl, Murezi Capaul, Debora Ledergerber, Georgia Ramantani, Johannes Sarnthein   +9 more
wiley   +1 more source